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TR-100 | [
"The",
"last",
"one",
"is",
"assessed",
"via",
"Java",
"Native",
"Interface",
"(",
"JNI",
")",
"same",
"as",
"in",
"usual",
"Java",
"."
] | [
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The last one is assessed via Java Native Interface ( JNI ) same as in usual Java .
BIO tags: | O O O O O O B-long I-long I-long O B-short O O O O O O O |
TR-101 | [
"Current",
"practice",
"often",
"uses",
"health",
"information",
"systems",
"(",
"HIS",
")",
"and",
"electronic",
"health",
"record",
"(",
"EHR",
")",
"in",
"an",
"informal",
"manner",
"with",
"adhoc",
"protocols",
"and",
"interoperability",
"solutions",
"in",
"order",
"to",
"develop",
"clinical",
"systems",
"."
] | [
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Current practice often uses health information systems ( HIS ) and electronic health record ( EHR ) in an informal manner with adhoc protocols and interoperability solutions in order to develop clinical systems .
BIO tags: | O O O O B-long I-long I-long O B-short O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O |
TR-102 | [
"In",
"order",
"to",
"use",
"the",
"additional",
"synthetic",
"data",
",",
"an",
"IB",
"approach",
"must",
"take",
"more",
"gradient",
"steps",
"with",
"imaginary",
"batches",
"."
] | [
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
0,
2,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: In order to use the additional synthetic data , an IB approach must take more gradient steps with imaginary batches .
BIO tags: | O O O O O O O O O O B-short O O O O O O O B-long I-long O |
TR-103 | [
"Besides",
"the",
"Privacy",
"by",
"Design",
"approach",
"mentioned",
"aboveVerhagen2016-sf",
",",
"the",
"Connected",
"Intelligence",
"Centre",
"at",
"the",
"University",
"of",
"Technology",
"Sydney",
"is",
"working",
"on",
"an",
"Ethical",
"Design",
"Critique",
"(",
"EDC",
")",
"approach",
"to",
"involve",
"stakeholders",
"to",
"consider",
"ethical",
"and",
"risk",
"factors",
"involved",
"in",
"new",
"learning",
"analytics",
"tools",
"."
] | [
4,
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4,
4,
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4,
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4,
4,
4,
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4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Besides the Privacy by Design approach mentioned aboveVerhagen2016-sf , the Connected Intelligence Centre at the University of Technology Sydney is working on an Ethical Design Critique ( EDC ) approach to involve stakeholders to consider ethical and risk factors involved in new learning analytics tools .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O |
TR-104 | [
"Computing",
"the",
"centroid",
"of",
"each",
"feature",
"cluster",
"yields",
"a",
"well",
"-",
"defined",
"and",
"easily",
"georeferenced",
"region",
"of",
"interest",
"(",
"ROI",
")",
"for",
"each",
"cluster",
",",
"resulting",
"in",
"a",
"catalog",
"of",
"geolocated",
"objects",
"scanned",
"by",
"the",
"sonar",
"."
] | [
4,
4,
4,
4,
4,
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4,
4,
4,
4,
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4,
4,
4,
4,
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2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Computing the centroid of each feature cluster yields a well - defined and easily georeferenced region of interest ( ROI ) for each cluster , resulting in a catalog of geolocated objects scanned by the sonar .
BIO tags: | O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O |
TR-105 | [
"For",
"DPPs",
",",
"the",
"maximum",
"a",
"posteriori",
"(",
"MAP",
")",
"problem",
",",
"aiming",
"at",
"finding",
"the",
"subset",
"with",
"highest",
"probability",
",",
"has",
"attracted",
"much",
"attention",
"due",
"to",
"its",
"broad",
"range",
"for",
"potential",
"applications",
"."
] | [
4,
1,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: For DPPs , the maximum a posteriori ( MAP ) problem , aiming at finding the subset with highest probability , has attracted much attention due to its broad range for potential applications .
BIO tags: | O B-short O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-106 | [
"These",
"papers",
"presents",
"a",
"Generative",
"Adversarial",
"Network",
"(",
"GAN",
")",
"for",
"color",
"normalization",
"."
] | [
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: These papers presents a Generative Adversarial Network ( GAN ) for color normalization .
BIO tags: | O O O O B-long I-long I-long O B-short O O O O O |
TR-107 | [
"In",
"the",
"course",
"of",
"our",
"investigation",
",",
"we",
"found",
"that",
"a",
"linear",
"Support",
"Vector",
"Machine",
"(",
"SVM",
")",
"model",
"exhibits",
"a",
"favorable",
"trade",
"-",
"off",
"between",
"classification",
"performance",
"and",
"training",
"time",
"."
] | [
4,
4,
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4,
4,
4,
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4,
4,
4,
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0,
2,
2,
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4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: In the course of our investigation , we found that a linear Support Vector Machine ( SVM ) model exhibits a favorable trade - off between classification performance and training time .
BIO tags: | O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O |
TR-108 | [
"Its",
"topology",
"and",
"network",
"resources",
"are",
"set",
"in",
"such",
"a",
"way",
"as",
"to",
"present",
"both",
"IoT",
"and",
"normal",
"traffic",
"competing",
"for",
"resources",
"."
] | [
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Its topology and network resources are set in such a way as to present both IoT and normal traffic competing for resources .
BIO tags: | O O O O O O O O O O O O O O O B-short O O O O O O O |
TR-109 | [
"The",
"simplest",
"VLC",
"relies",
"on",
"on",
"-",
"off",
"keying",
"(",
"OOK",
")",
"modulation",
",",
"which",
"is",
"realized",
"with",
"DC",
"-",
"free",
"codes",
"to",
"generate",
"a",
"constant",
"dimming",
"level",
"of",
"."
] | [
4,
4,
1,
4,
4,
0,
2,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The simplest VLC relies on on - off keying ( OOK ) modulation , which is realized with DC - free codes to generate a constant dimming level of .
BIO tags: | O O B-short O O B-long I-long I-long I-long O B-short O O O O O O O B-short O O O O O O O O O O O |
TR-110 | [
"We",
"use",
"Principal",
"Component",
"Analysis",
"(",
"PCA",
")",
"to",
"reduce",
"the",
"-dimensional",
"data",
"to",
"two",
"dimensions",
"for",
"visualization",
"."
] | [
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: We use Principal Component Analysis ( PCA ) to reduce the -dimensional data to two dimensions for visualization .
BIO tags: | O O B-long I-long I-long O B-short O O O O O O O O O O O O |
TR-111 | [
"RFE",
"ExtraTrees",
"is",
"an",
"iterative",
"approach",
",",
"recalculating",
"feature",
"importance",
"of",
"the",
"remaining",
"features",
"each",
"iteration",
"."
] | [
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: RFE ExtraTrees is an iterative approach , recalculating feature importance of the remaining features each iteration .
BIO tags: | B-short O O O O O O O O O O O O O O O O |
TR-112 | [
"While",
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"variations",
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"LSTM",
"are",
"commonly",
"employed",
",",
"including",
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"GRUgru",
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: While other variations of LSTM are commonly employed , including Gated recurrent unit GRUgru , No Forget Gate ( NFG ) , No Peepholes ( NP ) , No Input Activation Function ( NIAF ) , and others , a comparison between different variations of LSTMgreff2017lstm showed that while computationally cheaper , these variations did not improve upon the standard LSTM architecture significantly .
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TR-113 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: We used the Stochastic Gradient Descent ( SGD ) optimization of batch size 10 , with a momentum 0.9 to update the model parameters , with the learning rate 0.01 , the decay rate 0.05 ; The learning rate decays over epochs by , where is the learning rate , is the epoch number , and is the decay rate .
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The maximal memory expend recorded from the command line was 226 MO of RAM and 395 MO of ROM .
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TR-115 | [
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BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The physical manifestation of these features - volumes of gray and white matter and direction of neuronal pathways , are often dys - regulated in subjects with neurological disorders such as Attention Deficiency Disorder ( ADD ) and Attention Deficiency Hyperactive Disorder ( ADHD ) , or neurodenerative diseases such as Alzheimer 's and Parkinson 's .
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Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: For each operation ( create , update , delete , read ) from IoT devices , the data can be treated in the form of transaction in the BC - blocks .
BIO tags: | O O O O O O O O O O O O O B-short O O O O O O O O O O O O O O B-short O O O |
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: For example , graph neural network ( GNN ) based approaches are flexible , and can scale to large datasets .
BIO tags: | O O O B-long I-long I-long O B-short O O O O O O O O O O O O O |
TR-118 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Here , we propose a new end - to - end 3D deep convolutional neural net ( DCNN ) , called NoduleNet , to solve nodule detection , false positive reduction and nodule segmentation jointly in a multi - task fashion .
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TR-119 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: A Hidden Markov Random Field ( HMRF ) is used to perform joint community analysis for both nodes and edges considering node data , edge data and the linkage structure .
BIO tags: | O B-long I-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O O O O |
TR-120 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Although the coupling of BEM and FEM algorithms can be accomplished in a wide majority of commercially available finite element codes that assimilate user element subroutines , e.g. , , the asymmetric and dense character of the HSSE - coefficient - matrix still restrains the advantages of the finite element method .
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Suppose that at a time instance values of signals from inputs , outputs , and internal state of a legacy AI system could be combined together to form a single measurement object , .
BIO tags: | O O O O O O O O O O O O O O O O O O O O B-short O O O O O O O O O O O O O |
TR-122 | [
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4,
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4,
4,
1,
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4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Let the time be slotted and use to denote the index of slots , the update of source appears independently and identically with probability in each time slot.(When new update packets are generated in every slot , AoS and AoI are the same .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B-short O B-short O O O O |
TR-123 | [
"The",
"proposed",
"SSAE",
"consists",
"of",
"an",
"encoder",
"RNN",
"(",
"ER",
")",
"and",
"a",
"decoder",
"RNN",
"(",
"DR",
")",
"just",
"like",
"the",
"conventional",
"autoencoder",
"."
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4,
4,
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1,
4,
1,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The proposed SSAE consists of an encoder RNN ( ER ) and a decoder RNN ( DR ) just like the conventional autoencoder .
BIO tags: | O O B-short O O O O B-short O B-short O O O O B-short O B-short O O O O O O O |
TR-124 | [
"Furthermore",
",",
"constant",
"false",
"alarm",
"rate",
"(",
"CFAR",
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"detectors",
"are",
"proposed",
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"cyclic",
"autocorrelation",
"functions",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Furthermore , constant false alarm rate ( CFAR ) detectors are proposed based on the estimated cyclic autocorrelation functions ( CAFs ) .
BIO tags: | O O B-long I-long I-long I-long O B-short O O O O O O O O B-long I-long I-long O B-short O O |
TR-125 | [
"The",
"Next",
"Generation",
"Mobile",
"Networks",
"(",
"NGMN",
")",
"introduced",
"Network",
"Virtualization",
"Substrate",
"(",
"NVS",
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"which",
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"infrastructure",
"provider",
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"control",
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4,
4,
4,
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The Next Generation Mobile Networks ( NGMN ) introduced Network Virtualization Substrate ( NVS ) , which allows infrastructure provider to control resource allocation of each of the virtual instance of an enhanced Node B ( eNB ) before customization of scheduling of each virtual operator within allocated resource .
BIO tags: | O B-long I-long I-long I-long O B-short O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O |
TR-126 | [
"Distribution",
"matching",
"(",
"DM",
")",
"encoders",
"are",
"typically",
"used",
"in",
"PS",
"and",
"they",
"offer",
"very",
"good",
"performance",
"for",
"long",
"block",
"lengths",
"."
] | [
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2,
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4,
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4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Distribution matching ( DM ) encoders are typically used in PS and they offer very good performance for long block lengths .
BIO tags: | B-long I-long O B-short O O O O O O B-short O O O O O O O O O O O |
TR-127 | [
"SD",
"diagrams",
"depict",
"the",
"strategic",
"dependencies",
"between",
"actors",
",",
"but",
"do",
"not",
"depict",
"the",
"internal",
"rational",
"behind",
"these",
"dependencies",
"."
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1,
4,
4,
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2,
4,
4,
4,
4,
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4,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: SD diagrams depict the strategic dependencies between actors , but do not depict the internal rational behind these dependencies .
BIO tags: | B-short O O O B-long I-long O O O O O O O O O O O O O O |
TR-128 | [
"Although",
"such",
"platforms",
"offer",
"high",
"-",
"quality",
"Automatic",
"Speech",
"Recognition",
"(",
"ASR",
")",
",",
"Natural",
"Language",
"Understanding",
"(",
"NLU",
")",
"and",
"audio",
"synthesis",
"modules",
",",
"Dialogue",
"Management",
"(",
"DM",
")",
"modules",
"are",
"typically",
"handcrafted",
"and",
"require",
"many",
"non",
"-",
"trivial",
"decisions",
"in",
"design",
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"implementation",
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4,
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Although such platforms offer high - quality Automatic Speech Recognition ( ASR ) , Natural Language Understanding ( NLU ) and audio synthesis modules , Dialogue Management ( DM ) modules are typically handcrafted and require many non - trivial decisions in design and implementation .
BIO tags: | O O O O O O O B-long I-long I-long O B-short O O B-long I-long I-long O B-short O O O O O O B-long I-long O B-short O O O O O O O O O O O O O O O O O |
TR-129 | [
"Prognostics",
"is",
"the",
"study",
"as",
"to",
"show",
"how",
"the",
"tool",
"condition",
"degrades",
"and",
"to",
"estimate",
"the",
"remaining",
"useful",
"life",
"(",
"RUL",
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"of",
"the",
"tool",
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4,
4,
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4,
4,
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0,
2,
2,
4,
1,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Prognostics is the study as to show how the tool condition degrades and to estimate the remaining useful life ( RUL ) of the tool .
BIO tags: | O O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O |
TR-130 | [
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"is",
"not",
"surprising",
",",
"since",
"SS",
"always",
"works",
"under",
"the",
"implicit",
"assumption",
"of",
"maximum",
"interconnection",
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",",
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"sensitivity",
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4,
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4,
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4,
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4,
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4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: This is not surprising , since SS always works under the implicit assumption of maximum interconnection among component replicas , so its sensitivity to variation of is minimal , while RO is influenced by , given the applied principle of considering only real replicas interdependencies .
BIO tags: | O O O O O O B-short O O O O O O O O O O O O O O O O O O O O O O O B-short O O O O O O O O O O O O O O O |
TR-131 | [
"Scenario",
"5",
":",
"ACPs",
"+",
"GasIn",
"this",
"scenario",
",",
"the",
"oldest",
"oil",
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"units",
"are",
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4,
4,
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2,
2,
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Scenario 5 : ACPs + GasIn this scenario , the oldest oil and coal generation units are retired by 2030 and these units are replaced by new NGCC units to meet the net Installed Capacity Requirement ( NICR ) .
BIO tags: | O O O B-short O O O O O O O O O O O O O O O O O O O O O O O B-short O O O O B-long I-long I-long I-long O B-short O O |
TR-132 | [
"AI",
"on",
"cloud",
"is",
"running",
"AI",
"algorithms",
"on",
"cloud",
"side",
",",
"and",
"it",
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"overwhelming",
"performance",
"in",
"image",
"recognition",
",",
"speech",
"recognition",
",",
"and",
"video",
"understanding",
",",
"etc",
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4,
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4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: AI on cloud is running AI algorithms on cloud side , and it has demonstrated overwhelming performance in image recognition , speech recognition , and video understanding , etc .
BIO tags: | O O O O O B-short O O O O O O O O O O O O O O O O O O O O O O O O |
TR-133 | [
"Since",
"the",
"regression",
"output",
"from",
"a",
"RF",
"model",
"is",
"predicted",
"by",
"averaging",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Since the regression output from a RF model is predicted by averaging results from all trees , and the prediction of each tree depends on the samples arrived at the leaf node , only a finite number of potential prediction outputs are possible once trained .
BIO tags: | O O O O O O B-short O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-134 | [
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: They compare an Intel Xeon coupled with an ARM - based Nvidia Jetson TX2 GPU module , and find that the Xeon platform performs best in terms of computational speed , whilst the Jetson platform is most energy efficient .
BIO tags: | O O O O O O O O B-short O O O O O B-short O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-135 | [
"Other",
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"Component",
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"ICA",
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Other Independent Component Analysis ( ICA ) methods for this problem have similar statements .
BIO tags: | O B-long I-long I-long O B-short O O O O O O O O O |
TR-136 | [
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Both techniques are based on bounded model checking ( BMC ) where the BMC checks for the property-"does critical information get corrupted ? "
BIO tags: | O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O O |
TR-137 | [
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"component",
"analysis",
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"based",
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"has",
"been",
"used",
"to",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Principal component analysis ( PCA ) based method has been used to classify faults .
BIO tags: | B-long I-long I-long O B-short O O O O O O O O O O |
TR-138 | [
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"goal",
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"platforms",
",",
"is",
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The goal of algorithms used by platforms , is essentially to lead the decisions made by users , suggesting them a certain good instead of another(Such goods could be perfect substitutes and an algorithm could decide to show only a part of them , proposing to the consumer the only goods that reflects the Willingness To Pay ( WTP ) identified for that profiled user . )
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O O O |
TR-139 | [
"We",
"acknowledge",
"the",
"financial",
"support",
"of",
"the",
"Future",
"and",
"Emerging",
"Technologies",
"(",
"FET",
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"programme",
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"Seventh",
"Framework",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: We acknowledge the financial support of the Future and Emerging Technologies ( FET ) programme within the Seventh Framework Programme ( FP7 ) for Research of the European Commission , under the FP7 FET - Proactive Call 8 - DyMCS , Grant Agreement TOPDRIM , number FP7-ICT-318121 .
BIO tags: | O O O O O O O B-long I-long I-long I-long O B-short O O O O O B-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O B-short O O O O |
TR-140 | [
"The",
"posterior",
"integral",
"mean",
"and",
"variance",
"under",
"the",
"Bayes",
"-",
"Sard",
"quadrature",
"are",
"straightforwardly",
"derived",
"by",
"plugging",
"the",
"Bayes",
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"Sard",
"GP",
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"bsgp_multi",
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"output_posterior_mean",
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"the",
"general",
"BQ",
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"bq_integral_mean",
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"eq",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The posterior integral mean and variance under the Bayes - Sard quadrature are straightforwardly derived by plugging the Bayes - Sard GP model moments from eq : bsgp_multi - output_posterior_mean , eq : bsgp_multi - output_multi_parameter_posterior_covariance into the general BQ expressions in eq : bq_integral_mean , eq : bq_integral_variance .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O B-short O O O O O O O O O O O O O O O O O B-short O O O O O O O O O O |
TR-141 | [
"We",
"intend",
"to",
"use",
"the",
"wireless",
"sensor",
"network",
"(",
"WSN",
")",
"to",
"collect",
"patients",
"'",
"data",
"and",
"send",
"it",
"to",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: We intend to use the wireless sensor network ( WSN ) to collect patients ' data and send it to .
BIO tags: | O O O O O B-long I-long I-long O B-short O O O O O O O O O O O |
TR-142 | [
"Furthermore",
",",
"social",
"media",
"platforms",
"provide",
"an",
"excellent",
"arena",
"for",
"analyzing",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Furthermore , social media platforms provide an excellent arena for analyzing human behavior in a natural setting , and some recent research has successfully applied natural language processing ( NLP ) to social media data to quantify people 's moral behaviors .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O |
TR-143 | [
"Following",
"both",
"and",
",",
"we",
"use",
"the",
"mean",
"absolute",
"scaled",
"error",
"(",
"MASE",
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"as",
"evaluation",
"metric",
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4,
1,
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Following both and , we use the mean absolute scaled error ( MASE ) as evaluation metric .
BIO tags: | O O O O O O O B-long I-long I-long I-long O B-short O O O O O |
TR-144 | [
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: For instance , a Random Forest ( RF ) is simply an addition of decision trees that aggregate tree decisions , usually leading to improved classification performance .
BIO tags: | O O O O B-long I-long O B-short O O O O O O O O O O O O O O O O O O O O |
TR-145 | [
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"the",
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"user",
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: To reduce the amount of interactions for the user , a phrase dependency graph ( PDG ) is proposed .
BIO tags: | O O O O O O O O O O O B-long I-long I-long O B-short O O O O |
TR-146 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Furthermore , the first attempts on combining RISs with orthogonal frequency division multiplexing ( OFDM ) and SM / space shift keying ( SSK ) schemes have been reported .
BIO tags: | O O O O O O O B-short O B-long I-long I-long I-long O B-short O O B-short O B-long I-long I-long O B-short O O O O O O |
TR-147 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: This optimization generally requires thousands of model runs , which can take a prohibitive long time when running a physically detailed simulator of the sewer network , such as a EPA Storm Water Management Model ( SWMM ) model SWMM5 .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B-short B-long I-long I-long I-long O B-short O O B-short O |
TR-148 | [
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The two counter - examples and mathematical reasoning were provided that eigenvalue - based inconsistency , used in some customizations of pairwise comparisons , has no mathematical validity since it tolerates arbitrarily large errors when the size of a PC matrix increases to the infinity .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B-short O O O O O O |
TR-149 | [
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: After that , AA theory was developed and has been applied to OPF problems in power systems , which can take the correlation among variables into account and yield much tighter lower and upper bounds compared to IA .
BIO tags: | O O O B-short O O O O O O O O B-short O O O O O O O O O O O O O O O O O O O O O O O O B-short O |
TR-150 | [
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"algorithm",
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"29,575",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The algorithm is applied to each of the three domains of GO : ( i ) molecular function ontology ( MFO ; 10,789 terms ) ( ii ) biological process ontology ( BPO ; 29,575 terms ) and ( iii ) cellular component ontology ( CCO ; 4,085 terms ) .
BIO tags: | O O O O O O O O O O O B-short O O O O B-long I-long I-long O B-short O O O O O O O B-long I-long I-long O B-short O O O O O O O O B-long I-long I-long O B-short O O O O O |
TR-151 | [
"The",
"Random",
"Walk",
"Theory",
"(",
"RWT",
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"proposed",
"by",
"Osborne",
"also",
"suggested",
"same",
"conclusion",
"that",
"the",
"stock",
"prices",
"were",
"unpredictable",
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4,
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The Random Walk Theory ( RWT ) proposed by Osborne also suggested same conclusion that the stock prices were unpredictable .
BIO tags: | O B-long I-long I-long O B-short O O O O O O O O O O O O O O O |
TR-152 | [
"From",
"there",
",",
"the",
"remainder",
"of",
"the",
"section",
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"the",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: From there , the remainder of the section describes the Electric Power Enterprise Control System ( EPECS ) simulator as customized for ISO New England 's operation .
BIO tags: | O O O O O O O O O O B-long I-long I-long I-long I-long O B-short O O O O O B-short O O O O O |
TR-153 | [
"We",
"compare",
"with",
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"RARL",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: We compare with robust adversarial reinforcement learning ( RARL , ) which is considered to be the model - free robust RL baseline .
BIO tags: | O O O B-long I-long I-long I-long O B-short O O O O O O O O O O O O B-short O O |
TR-154 | [
"These",
"attacks",
"become",
"even",
"more",
"dangerous",
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"the",
"IoT",
"spreads",
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"critical",
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"such",
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"IoT",
"Healthcare",
"and",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: These attacks become even more dangerous as the IoT spreads across a vast amount of spectra and parts of life including safety critical and potentially life endangering ones such as IoT Healthcare and Intelligent Transportation Systems .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-155 | [
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"mentioned",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: As mentioned earlier , the electromagnetic signal transmitted from ETs weakens over distance , the amount of energy harvested by a sensor node depends on its position relative to the position of ETs .
BIO tags: | O O O O O O O O O B-short O O O O O O O O O O O O O O O O O O O O O O O O |
TR-156 | [
"A",
"dialog",
"policy",
"is",
"formulated",
"as",
"a",
"Partially",
"Observable",
"Markov",
"Decision",
"Process",
"(",
"POMDP",
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"which",
"models",
"the",
"uncertainty",
"existing",
"in",
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"of",
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4,
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4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: A dialog policy is formulated as a Partially Observable Markov Decision Process ( POMDP ) which models the uncertainty existing in both the users ' goals and the outputs of the ASR and the NLU .
BIO tags: | O O O O O O O B-long I-long I-long I-long I-long O B-short O O O O O O O O O O O O O O O O O B-short O O B-short O |
TR-157 | [
"Recently",
",",
"convolutional",
"neural",
"network",
"(",
"CNN",
")",
"based",
"methods",
"have",
"achieved",
"very",
"good",
"performance",
"for",
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"image",
"segmentation",
"in",
"terms",
"of",
"both",
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"accuracy",
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4,
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4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Recently , convolutional neural network ( CNN ) based methods have achieved very good performance for cardiac image segmentation in terms of both speed and accuracy .
BIO tags: | O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O O |
TR-158 | [
"The",
"input",
"SPARQL",
"query",
"is",
"first",
"parsed",
"using",
"the",
"Jena",
"ARQ",
"module",
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"thereby",
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"(",
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"validating",
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"query",
"and",
"(",
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"generating",
"its",
"abstract",
"syntax",
"tree",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The input SPARQL query is first parsed using the Jena ARQ module , thereby : ( i ) validating the query and ( ii ) generating its abstract syntax tree ( AST ) representation .
BIO tags: | O O B-short O O O O O O O B-short O O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O |
TR-159 | [
"In",
"a",
"complementary",
"vein",
",",
"eyetracking",
"signal",
"has",
"been",
"used",
"for",
"linguistic",
"annotation",
"tasks",
"such",
"as",
"POS",
"tagging",
"and",
"prediction",
"of",
"syntactic",
"functions",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: In a complementary vein , eyetracking signal has been used for linguistic annotation tasks such as POS tagging and prediction of syntactic functions .
BIO tags: | O O O O O O O O O O O O O O O O B-short O O O O O O O |
TR-160 | [
"We",
"call",
"this",
"problem",
"Doubly",
"Distributed",
"Fourier",
"Sampling",
"(",
"DDFS",
")",
"."
] | [
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: We call this problem Doubly Distributed Fourier Sampling ( DDFS ) .
BIO tags: | O O O O B-long I-long I-long I-long O B-short O O |
TR-161 | [
"Note",
"for",
"CNN",
"the",
"input",
"is",
"a",
"cropped",
"image",
"sample",
"of",
"size",
"and",
"the",
"last",
"two",
"layers",
"FC5",
"and",
"FC6(1",
"or",
"2",
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"are",
"fully",
"connected",
"layers",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Note for CNN the input is a cropped image sample of size and the last two layers FC5 and FC6(1 or 2 ) are fully connected layers .
BIO tags: | O O B-short O O O O O O O O O O O O O O B-short O B-short O O O O O O O O |
TR-162 | [
"Based",
"on",
"the",
"notion",
"of",
"graphlets",
",",
"the",
"graphlet",
"degree",
"vector",
"(",
"GDV",
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"is",
"a",
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"feature",
"that",
"summarizes",
"a",
"node",
"'s",
"extended",
"network",
"neighborhood",
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4,
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Based on the notion of graphlets , the graphlet degree vector ( GDV ) is a network feature that summarizes a node 's extended network neighborhood .
BIO tags: | O O O O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O O |
TR-163 | [
"AS",
"Reader",
":",
"We",
"implemented",
"Attention",
"Sum",
"Reader",
"(",
"AS",
"Reader",
")",
"for",
"modeling",
"document",
"and",
"query",
"and",
"predicting",
"the",
"answer",
"with",
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"Pointer",
"Network",
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"which",
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"cloze",
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"style",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: AS Reader : We implemented Attention Sum Reader ( AS Reader ) for modeling document and query and predicting the answer with the Pointer Network , which is a popular framework for cloze - style reading comprehension .
BIO tags: | O O O O O B-long I-long O O B-short I-short O O O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-164 | [
"As",
"a",
"result",
"of",
"this",
"discussion",
"the",
"team",
"decide",
"to",
"drop",
"the",
"OT",
"data",
"from",
"this",
"journey",
"."
] | [
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4,
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: As a result of this discussion the team decide to drop the OT data from this journey .
BIO tags: | O O O O O O O O O O O O B-short O O O O O |
TR-165 | [
"Deep",
"learning",
"models",
"became",
"feasible",
"relatively",
"recently",
",",
"after",
"the",
"introduction",
"of",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Deep learning models became feasible relatively recently , after the introduction of large publicly available datasets , of graphics processing units ( GPUs ) , and of training algorithms that exploit GPUs to efficiently handle large amounts of data .
BIO tags: | O O O O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O O O B-short O O O O O O O O |
TR-166 | [
"Here",
",",
"to",
"better",
"understand",
"the",
"similarity",
"of",
"the",
"extracted",
"representation",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Here , to better understand the similarity of the extracted representation from TPN and the supervised network , we utilize singular vector canonical correlation analysis ( SVCCA ) , saliency maps and t - distributed stochastic neighbor embedding ( t - SNE ) .
BIO tags: | O O O O O O O O O O O O B-short O O O O O O O B-long I-long I-long I-long I-long O B-short O O O O O B-long I-long I-long I-long I-long I-long O B-short I-short I-short O O |
TR-167 | [
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"objective",
"quality",
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"video",
"sequences",
"was",
"carried",
"out",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The objective quality assessment of the video sequences was carried out with EvalVid and MSU Video Quality Measurement Tool ( VQMT ) .
BIO tags: | O O O O O O O O O O O O B-short O B-short B-long I-long I-long I-long O B-short O O |
TR-168 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: A -FA on an object is said to have enough classical states if its classical states separate morphisms from , i.e. two morphisms are equal whenever they satisfy for all classical states of .
BIO tags: | O B-short O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-169 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The Root Mean Square Residual ( RMSR ) and the person separation reliability were acceptable .
BIO tags: | O B-long I-long I-long I-long O B-short O O O O O O O O O |
TR-170 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The first , we use the geometric Brownian Motion ( GBM ) model to simulate an amount of prices data .
BIO tags: | O O O O O O B-long I-long I-long O B-short O O O O O O O O O O |
TR-171 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: However , this type of interfaces increase the operator 's cognitive burden and are not very efficient especially for complex robots with high degrees of freedom ( DOF ) .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O |
TR-172 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Piecewise Aggregation Approximation ( PAA ) methods is proposed by Keogh to reduce the dimensionality of time series , which is then upgraded to Symbolic Aggregation Approximation ( SAX ) .
BIO tags: | B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O |
TR-173 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: For tariff design , an improved weighted fuzzy average ( WFA ) K - means was first proposed to obtain typical load profiles in .
BIO tags: | O O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O O |
TR-174 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: 7 , we can see that the proposed LAT - RTV can remove more textures and retain strong edges , compared with the original RTV and other four methods , including Weighted Least Squares ( WLS ) , Region covariance based method ( RC ) , Rolling Guidance Filter ( RGF ) , Robust Guided Image Filtering ( RGIF ) .
BIO tags: | O O O O O O O O B-short I-short I-short O O O O O O O O O O O O O B-short O O O O O O B-long I-long I-long O B-short O O B-long I-long I-long I-long O B-short O O B-long I-long I-long O B-short O O B-long I-long I-long I-long O B-short O O |
TR-175 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Typical examples include kernel - based supervised hashing ( KSH ) , semantic correlation maximization ( SCM ) , semantics - preserving hashing ( SePH ) , linear subspace ranking hashing ( LSRH ) , and deep learning hashing ( DLH ) .
BIO tags: | O O O B-long I-long I-long I-long I-long O B-short O O B-long I-long I-long O B-short O O B-long I-long I-long I-long O B-short O O B-long I-long I-long I-long O B-short O O O B-long I-long I-long O B-short O O |
TR-176 | [
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: We deceived the audience into believing that an AI was performing , then we asked them to compare that performance with a performance by an actual AI .
BIO tags: | O O O O O O O O B-short O O O O O O O O O O O O O O O O O O O |
TR-177 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The cost - optimal encoding ladder configuration problem is then solved using the formulated integer linear programming ( ILP ) algorithm by considering practical constraints .
BIO tags: | O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O O |
TR-178 | [
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Software Defined Networking ( SDN ) is a pillar technology for network virtualization , which currently attracts a lot of attention due to the provided capabilities .
BIO tags: | B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O O |
TR-179 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Services are described in an XML - based language called the Web Services Description Language ( WSDL ) .
BIO tags: | O O O O O B-short O O O O O B-long I-long I-long I-long O B-short O O |
TR-180 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: It is also shown that energy efficient routing protocols in the conventional approach are portable to the network coded approach as the minimum hop routing heuristic is used to route traffic flows in network coding enabled IP over WDM networks where network coding is performed in all intermediate nodes traversed by bidirectional traffic flows .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B-short O B-short O O O O O O O O O O O O O O O O |
TR-181 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: However , for some other real - world tasks including some Atari 2600 games , the problem is really a partially observable Markov decision process ( POMDP ) where the state of the environment may be partially observable or even unobservable , to the point where arbitrarily long histories of observations are needed to extract sufficient features for optimal action selection .
BIO tags: | O O O O O O O O O O O O O O O O O O O O B-long I-long I-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-182 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Then , a recurrent neural network ( RNN ) is used to generate the target characters based on the glimpse vectors and the history of target characters .
BIO tags: | O O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O O |
TR-183 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The ECs are connected to the CC via midhaul using various technologies , from expensive dark fiber solutions , to cost - efficient passive optical network ( PON ) families or other Ethernet based technologies .
BIO tags: | O B-short O O O O B-short O O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O O O |
TR-184 | [
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"York",
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"NY",
":",
"Collins",
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: New York , NY : Collins , 2007 .
BIO tags: | B-long I-long O B-short O O O O O |
TR-185 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: There are 03 basic BAM models : ( i ) Maximum Allocation Model ( MAM ) , ( ii ) Russian Dolls Model ( RDM ) and ( iii ) AllocTC - Sharing ( ATCS ) .
BIO tags: | O O O O B-short O O O O O B-long I-long I-long O B-short O O O O O B-long I-long I-long O B-short O O O O O B-long I-long I-long O B-short O O |
TR-186 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Five TFs are considered and could rotate the facial patch by 90 and 180 degrees , translate it , shift it and transformed it with ZCA whitening .
BIO tags: | O B-short O O O O O O O O O O O O O O O O O O O O O O O B-short O O |
TR-187 | [
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"results",
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"three",
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: As per results reported by the author , they have three top accurate classification methods for the prediction of binary classes : Random Forest ( RF ) with 99.7 , Artificial Neural Network ( ANN ) with 99.1 and Support Vector Machines ( SVM ) with 98.9 accuracy , and in the case of four classes : SVM with 98.4 , BNC with 99.4 , and RF with 99.6 .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O B-long I-long O B-short O O O O B-long I-long I-long O B-short O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O B-short O O O B-short O O O O B-short O O O |
TR-188 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Mainly there are two types of modulated FB , Discrete Fourier Transform ( DFT ) FB and Cosine modulated filter bank ( CMFB ) .
BIO tags: | O O O O O O O B-short O B-long I-long I-long O B-short O O O B-long I-long I-long I-long O B-short O O |
TR-189 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: to reverse engineer the confusion matrix(A confusion matrix is a contingency table where the cells represent true positives ( TP ) , false negatives ( FN ) , false positives ( FP ) and true negatives ( TN ) respectively .
BIO tags: | O O O O O O O O O O O O O O O O B-long I-long O B-short O O B-long I-long O B-short O O B-long I-long O B-short O O B-long I-long O B-short O O O |
TR-190 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Since AP association is based on throughput , load balancing is implicitly included since loaded cells will provide users a potentially low throughput estimation , discouraging it from associating with it .
BIO tags: | O B-short O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-191 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Structured prediction energy networks ( SPENs ) define energy functions for scoring structured outputs as differentiable deep networks .
BIO tags: | B-long I-long I-long I-long O B-short O O O O O O O O O O O O O |
TR-192 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: It is likely the case that sources such as The New York Times , Vox , NPR , The Huffington Post , and The Guardian simply have a larger audience ( particularly on social media ) than AP and PBS .
BIO tags: | O O O O O O O O O O O O O O B-short O B-short O O O O O O O O O O O O O O O O O O O O B-short O B-short O |
TR-193 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Zhou et al.zhou2014micro developed a matrix factorization approach for predictive modeling of the disease onset risk based on patients ' Electronic Health Records ( EHR ) data .
BIO tags: | O O O O O O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O |
TR-194 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Thus , the importance in discover increases , because this represents the cause ; and when calculated , diagnostics the problem described.russell2003 affirm , that simple equation is the base for the all modern artificial intelligence ( AI ) systems which uses probabilistic inference .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B-long I-long O B-short O O O O O O O |
TR-195 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: By combining WGF and S - WGF in the iteration framework of , we propose a new structure - preserving texture - removing filter , termed iterated side window weighted guided filter ( IS - WGF ) .
BIO tags: | O O B-short O B-short I-short I-short O O O O O O O O O O O O O O O O O O O B-long I-long I-long I-long I-long I-long O B-short I-short I-short O O |
TR-196 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Although these MCMC - based methods are appealing , RBMs ( and their deeper form , the deep Boltzmann machine ) have not been competitive in recent years compared to autoregressive models Oord - et - al-2016 , variational auto - encoders Kingma+Welling - ICLR2014 and generative adversarial networks or GANs Goodfellow - et - al - NIPS2014 .
BIO tags: | O O B-short O O O O O O B-short O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B-short O O O O O O O O |
TR-197 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The latter is read directly by the backends , which is an intermediate format ( IF ) by the hlpsl2if compiler .
BIO tags: | O O O O O O O O O O O O B-long I-long O B-short O O O O O O |
TR-198 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The mean squared errors for each distance from the model answer for MM and TM for the fourth question .
BIO tags: | O O O O O O O O O O O O B-short O B-short O O O O O |
TR-199 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: We also compared our model with a simpler context vector representation called averaged word embeddings ( AWE ) which consists in representing the context of target word by averaging its surrounding words in a given window size .
BIO tags: | O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O |