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TR-500 | [
"Information",
"lifecycle",
"management",
"(",
"ILM",
")",
"has",
"been",
"used",
"by",
"the",
"storage",
"industry",
"to",
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"optimal",
"management",
"of",
"data",
"objects",
"throughout",
"their",
"lifecyclereiner2004information",
"."
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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: Information lifecycle management ( ILM ) has been used by the storage industry to determine optimal management of data objects throughout their lifecyclereiner2004information .
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 |
TR-501 | [
"The",
"cosine",
"similarity",
"result",
"(",
"Figure",
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"shows",
"that",
"DS",
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"that",
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"agreement",
"levels",
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"crowd",
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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 cosine similarity result ( Figure ) shows that DS + W2V CT also produces model predictions that are closer to the different agreement levels of the crowd .
BIO tags: | O O O O O O O O O B-short O B-short I-short O O O O O O O O O O O O O O O O |
TR-502 | [
"The",
"above",
"results",
"(",
"CNCI",
"and",
"VOSviewer",
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"show",
"that",
"the",
"presence",
"of",
"two",
"strong",
"High",
"Energy",
"Physics",
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"HEP",
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"journals",
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"affects",
"the",
"content",
"and",
"impact",
"for",
"the",
"astronomy",
"astrophysics",
"research",
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"in",
"the",
"Web",
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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: The above results ( CNCI and VOSviewer ) show that the presence of two strong High Energy Physics ( HEP ) journals strongly affects the content and impact for the astronomy astrophysics research category in the Web of Science .
BIO tags: | O O O O B-short 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 O O O O O O O O O O O O O O O |
TR-503 | [
"We",
"performed",
"the",
"scene",
"by",
"first",
"deceiving",
"the",
"audience",
"into",
"believing",
"that",
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"AI",
"was",
"performing",
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"whereas",
"the",
"chatbot",
"and",
"the",
"robot",
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"controlled",
"by",
"a",
"human",
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";",
"then",
"we",
"performed",
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"second",
"scene",
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"actual",
"AI",
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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 performed the scene by first deceiving the audience into believing that an AI was performing ( whereas the chatbot and the robot were controlled by a human ) ; then we performed a second scene with an actual AI .
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 O O O O O O O O O O O B-short O |
TR-504 | [
"After",
"analyzing",
"the",
"results",
"achieved",
"by",
"the",
"SVR",
"-",
"based",
"method",
"and",
"comparing",
"them",
"with",
"the",
"ones",
"achieved",
"by",
"a",
"SM",
",",
"which",
"is",
"commonly",
"used",
"for",
"estimation",
"from",
"non",
"-",
"coherent",
"X",
"-",
"band",
"marine",
"radars",
",",
"it",
"can",
"be",
"observed",
"that",
"the",
"proposed",
"method",
"presents",
"better",
"results",
"reducing",
"the",
"scatter",
"of",
"the",
"estimation",
"."
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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 analyzing the results achieved by the SVR - based method and comparing them with the ones achieved by a SM , which is commonly used for estimation from non - coherent X - band marine radars , it can be observed that the proposed method presents better results reducing the scatter of the estimation .
BIO tags: | O O O O O O O B-short 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 O O O O O O O O O O O O O O O O O O |
TR-505 | [
"However",
",",
"on",
"small",
"graphs",
"with",
"a",
"few",
"thousand",
"nodes",
"and",
"edges",
",",
"it",
"appears",
"that",
"struc2vec",
"'s",
"use",
"of",
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"time",
"warping",
"(",
"DTW",
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"better",
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"misalignment",
"of",
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"sequences",
"from",
"noise",
"because",
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"is",
"a",
"nonlinear",
"alignment",
"scheme",
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4,
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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: However , on small graphs with a few thousand nodes and edges , it appears that struc2vec 's use of dynamic time warping ( DTW ) better handles misalignment of degree sequences from noise because it is a nonlinear alignment scheme .
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 O O O O O O O O O O O O O O |
TR-506 | [
"The",
"CN",
"consists",
"of",
"Packet",
"Data",
"Network",
"Gateway",
"(",
"PGW",
")",
",",
"Serving",
"Gateway",
"(",
"SGW",
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"and",
"Mobility",
"Management",
"Entity",
"(",
"MME",
")",
"in",
"addition",
"to",
"a",
"few",
"other",
"nodes",
"."
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0,
2,
2,
4,
1,
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 CN consists of Packet Data Network Gateway ( PGW ) , Serving Gateway ( SGW ) and Mobility Management Entity ( MME ) in addition to a few other nodes .
BIO tags: | O B-short O O B-long I-long I-long I-long O B-short O O B-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 |
TR-507 | [
"We",
"request",
"the",
"GACOS",
"zenithal",
"tropospheric",
"delays",
"for",
"the",
"corresponding",
"locations",
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"ZTD",
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"in",
"the",
"corresponding",
"line",
"-",
"of",
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"sight",
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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: We request the GACOS zenithal tropospheric delays for the corresponding locations and acquisition dates and calculate the ZTD difference ( slave - master ) for each interferogram and reproject it in the corresponding line - of - sight .
BIO tags: | O O O B-short B-long I-long I-long 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 O O O O |
TR-508 | [
"The",
"components",
"communicate",
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"each",
"other",
"using",
"Remote",
"Procedure",
"Calls",
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"along",
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"ProtocolBuffers(https://developers.google.com",
"/",
"protocol",
"-",
"buffers/",
")",
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1,
4,
4,
4,
4,
4,
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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 components communicate with each other using Remote Procedure Calls ( RPC ) , which are implemented using the gRPC framework(https://grpc.io/ ) along with ProtocolBuffers(https://developers.google.com / protocol - buffers/ ) .
BIO tags: | O O O O O O O B-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-509 | [
"The",
"first",
"experiment",
"was",
"conducted",
"to",
"evaluate",
"the",
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"MILP",
"formulation",
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"presented",
"in",
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"renewable",
"resources",
"constraints",
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4,
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4,
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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 first experiment was conducted to evaluate the preprocessing MILP formulation by analyzing the LP relaxation ( LR ) and the strengthened LP relaxation ( SLR ) using the coefficient strengthening MILP presented in Section to renewable resources constraints .
BIO tags: | O O O O O O O O O B-short O O O O B-long I-long O B-short 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-510 | [
"An",
"Improved",
"P2P",
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"System",
"Scheme",
"Based",
"on",
"IPFS",
"and",
"Blockchain",
".",
"”"
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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: An Improved P2P File System Scheme Based on IPFS and Blockchain . ”
BIO tags: | O O B-short O O O O O B-short O O O O |
TR-511 | [
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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: Anyway , probabilistic distributions are typically assigned to scores using training strategies like Maximum Likelihood ( ML ) or Maximum a Posteriori ( MAP ) .
BIO tags: | 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 I-long O B-short O O |
TR-512 | [
"Similarly",
",",
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"Resistance",
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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: Similarly , Electrical Resistance Tomography ( ERT ) measurements were used to infer water saturation levels in soil using EKF assimilation of a weakly non - linear model .
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 B-short O O O O O O O O O |
TR-513 | [
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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 used the simple linear iterative clustering ( SLIC ) algorithm as it efficiently produces compact , contiguous supervoxels .
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 |
TR-514 | [
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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: An Ordinary Least Square ( OLS ) regression test is used to investigate which of the three measures most accurately assesses the total number of interactions ( i.e. , the total count of likes and comments ) on posts based on the sample of 160 randomly sampled Facebook pages .
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 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-515 | [
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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: Crowdsourcing tasks that require workers to move in space to perform them are studied in the field of Spatial Crowdsourcing ( SC ) zhao_spatial_2016 .
BIO tags: | 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 |
TR-516 | [
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"name",
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",",
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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: Data Management Subsystem name = Data Management Subsystem , description = The subsystems within Data Management may contain a defined combination of hardware , a software stack , a set of running processes , and the people who manage them : they are a major component of the DM System operations .
BIO tags: | O O O O O O O O O O O O O O B-long I-long 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 |
TR-517 | [
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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 many approaches line detector , Gabor filters , and gray level co - occurrence matrix ( GLCM ) based methods have been explored for feature extraction purpose .
BIO tags: | 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 O O O O O O O O O O O |
TR-518 | [
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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 example , it will not converge on implausible low energy configurations , such as a constant image using a single patch , whereas the nearest neighbor ( NN ) match in does in practice .
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 O B-short O O O O O O O |
TR-519 | [
"Increasing",
"the",
"dependency",
"among",
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"in",
"the",
"key",
"-",
"gate",
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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: Increasing the dependency among the keys in the key - gate placement is also explored in strong logic locking ( SLL ) algorithm .
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 |
TR-520 | [
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"are",
"two",
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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 two main types of NLM : feed - forward neural network based LM for tackling data sparsity and recurrent NN based LM for addressing the problem of limited context .
BIO tags: | O O O O O O B-short O O O O O O O B-short O O O O O O B-short O B-short O O O O O O O O |
TR-521 | [
"This",
"means",
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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 means that the MACNet based on multi - scale Atrous convolutional networks can be able to improve the classification of food places in egocentric photo - images .
BIO tags: | O O O O B-short O O B-long I-long I-long I-long I-long I-long O O O O O O O O O O O O O O O O |
TR-522 | [
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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: In particular , our views are concurrent with inclusions of deep neural network ( DNN ) to learn the right phase thereby achieve required power aggregate .
BIO tags: | 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-523 | [
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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: Assuming the entries of are i.i.d random variables ( RVs ) with variances , the entries of and will be i.i.d RVs with variances and , respectively .
BIO tags: | 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 O |
TR-524 | [
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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 address this issue , recent workroch2017generalized has derived an idealized generalized least squares ( GLS ) estimator for which the standard error decays at rate with growing sample size under a fixed social network .
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 O O O O O O O O O O O O O O O O |
TR-525 | [
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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 our SL experiments we use the AlexNet convolutional network krizhevsky2012imagenet and the ResNet50 residual network He:2015 on ImageNet deng2009imagenet ; for RL we use A3C Mnih2015 and Rainbow Rainbow in the Atari domain bellemare2013arcade and IMPALA IMPALA on DeepMind Lab beattie2016deepmind .
BIO tags: | O O B-short O O O O O O O O O O O O O O O O O O O B-short O O B-short O O O O O O O O O O O O O O O O O |
TR-526 | [
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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 is achieved by using two common deep learning architectures : Convolutional Neural Networks ( CNN ) and Recurrent Neural Networks ( RNN ) .
BIO tags: | O O O O 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 |
TR-527 | [
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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: Receiver operating characteristic ( ROC ) and area under curve ( AUC ) for various classification models using a 10:1 train : test split .
BIO tags: | 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 |
TR-528 | [
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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: SGNS = Skip - Gram with Negative Sampling , CD = Cosine Distance , LND = Local Neighborhood Distance , SVD = Singular Value Decomposition , OP = Orthogonal Procrustes , WI = Word Injection , POLY = Polysemy Baseline , FREQ = Normalized Frequency Difference ( NFD ) Baseline , RAND = Approximate Random Baseline for Binary Classification .
BIO tags: | B-short O B-long I-long I-long I-long I-long I-long O B-short O B-long I-long O B-short O B-long I-long I-long O B-short O B-long I-long I-long O B-short O B-long I-long O B-short O B-long I-long O B-short O B-long I-long O B-short O B-long I-long I-long O B-short O O O B-short O O B-long I-long I-long I-long I-long O |
TR-529 | [
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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 average per - user uplink rate is presented with , , , orthogonal pilot sequences and random pilot assignment and with km and km versus the total number of active users per AP .
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 B-short O |
TR-530 | [
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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: In order to reduce mathematical operations and total running time , gated recurrent unit ( GRU ) was developed by .
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 O |
TR-531 | [
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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: Specifically , the objective of this work was to examine the potential robustness of the RS transmission method in multi - pair massive MIMO relay systems obeying mostly to the FD design .
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 B-short O O O O O O B-short O O |
TR-532 | [
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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 , Product Line Management ( PLM ) tools should be investigated , especially the ones that cover Laboratory Information Management System ( LIMS ) , which provides important concepts such as Bill - of - Materials ( BoM ) , specifications and their certifications .
BIO tags: | O O B-long I-long I-long O B-short O O O O O O O O O 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 I-long I-long O B-short O O O O O O O |
TR-533 | [
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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 is the conditional risk of a binary classification problem , this would yield a link between the optimal risk for the AT surrogate and the optimal risk for a binary classification surrogate .
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-short O O O O O O O O O O O |
TR-534 | [
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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: Range queries are performed in CA trees by first finding and locking the base node containing the first key in the range and then traversing and locking subsequent base nodes until a base node containing a key which is equal to or greater than the largest key in the range is found .
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 O O O O O O O O O O O O O O O O O O O O O O O |
TR-535 | [
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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 instance , IFAB decreased the dimension of a given data set intensely , while also enhancing the performance of the support vector machine ( SVM ) significantly .
BIO tags: | O O O B-short 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-536 | [
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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 potentials produced by far - field sources are evaluated by a series of translations , namely S2 M , M2 M , M2L , L2L and L2T. Among these translations , S2 M need to evaluate the upward check potentials produced by the sources belonging to the leaf cube .
BIO tags: | O O O O O O O O O O O O O O O O O B-short I-short O B-short I-short O B-short O B-short O B-short O O O O B-short I-short O O O O O O O O O O O O O O O O O |
TR-537 | [
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"a",
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"deep",
"genetic",
"algorithm",
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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 a truly gradient - free method , the deep genetic algorithm ( Deep GA ) applies a simple genetic algorithm to evolve neural networks .
BIO tags: | O O O O O O O O O O B-long I-long O O B-short O O O O O O O O O O O |
TR-538 | [
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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 networks of the third generation , known as spiking neural networks ( SNN ) explicitly employ spikes as their mechanism for computation .
BIO tags: | 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 |
TR-539 | [
"MAPIT",
"jointly",
"maximizes",
"the",
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":",
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"it",
"maximizes",
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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: MAPIT jointly maximizes the followings : I ) it maximizes the number of nodes receiving energy from a landmark and II ) these sensors participate in profit maximizing missions .
BIO tags: | 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 |
TR-540 | [
"OW-2",
"with",
"two",
"OW",
"classes",
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"worse",
"than",
"OW-1",
"with",
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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: OW-2 with two OW classes performs worse than OW-1 with the single random class .
BIO tags: | O O O B-short O O O O O O O O O O O |
TR-541 | [
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"bound",
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"arises",
"involves",
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"the",
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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 bound that thus arises involves a quantity called the restricted isometry constant ( RIC ) of a matrix , essentially a measure of how well columns of a matrix can be expressed as sparse combinations of each other .
BIO tags: | 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 O O O O |
TR-542 | [
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"results",
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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: Experimental results show the proposed framework generalize well to CT scans collected from different sources , which yields a maximum of 5.87 improvement as compared to a baseline model .
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 |
TR-543 | [
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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: Hidden Markov Models ( HMM ) HMM belongs to the class of probabilistic graphical generative approaches , which means they are used to generate samples from a joint distribution of observed and unobserved features .
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 O O O O O O O O |
TR-544 | [
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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: Table shows the accuracy metrics for Random Forest ( RF ) , Decision Tree ( DT ) and Naive Bayes ( NB ) algorithms .
BIO tags: | 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 O |
TR-545 | [
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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 Anticipatory Arm Placement ( AAP ) in single and mirrored non - zoned disks is presented in .
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 |
TR-546 | [
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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: Those STAs who are not included in the MU - RTS will set the Network Allocation Vector ( NAV ) to defer their transmissions .
BIO tags: | O B-short O O O O O O B-short I-short I-short O O O B-long I-long I-long O B-short O O O O O O |
TR-547 | [
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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: While fully - connected ANNs such as multi layer perceptions ( MLP ) and SVM represent established models for the classification of gait patterns based on joined input vectors of time - continuous kinematic and kinetic data , convolutional ( deep ) artificial neural networks ( DNN ) have not yet been applied for the biomechanical analysis of human movements .
BIO tags: | O O O O B-short O O B-long I-long I-long O B-short 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-long I-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 |
TR-548 | [
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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 BNC handbook : exploring the British National Corpus with SARA .
BIO tags: | O B-short O O O O B-long I-long I-long O B-short O |
TR-549 | [
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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 formulate our probabilistic model as a Conditional Random Field ( CRF ) that is star - shaped : Y connected to all attributes ( see Fig . ) .
BIO tags: | 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-550 | [
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":",
"body",
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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: BWS : body weight squats ; JJ : jumping jack .
BIO tags: | B-short O B-long I-long I-long O B-short O B-long I-long O |
TR-551 | [
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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 work was supported in part by NSF grants DMS-1546206 and IIS-1528025 , UCB MURI grant N00014 - 13 - 1 - 0341 , Chinese National 973 Program ( 2015CB352501 ) , the Stanford AI Lab - Toyota Center for Artificial Intelligence Research , the Max Planck Center for Visual Computing and Communication , and a Google Focused Research award .
BIO tags: | O O O O O O O B-short O B-short O B-short O B-short I-short 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 B-long I-long O O O O O O O O O O O O O O O O O O O |
TR-552 | [
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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 ) UW sensor suite outside a sunken bus ( NC ) ; ( b ) UW sensor suite inside a sunken bus ( NC ) ; ( c ) UW sensor suite inside a cave ( FL ) ; ( d ) UW sensor suite mounted on a Diver Propulsion Vehicle ( DPV ) over a coral reef ; ( e ) Aqua2 AUV over a coral reef ; ( f ) AUV over a fake cemetery ( SC ) .
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-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 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-553 | [
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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 found that the J - MFD correctly categorized the Japanese participants ' descriptions into the corresponding moral foundations , and that the Moral Foundations Questionnaire ( MFQ ) scores correlated with the frequency of situations , of total words , and of J - MFD words in the participants ' descriptions for the Harm and Fairness foundations .
BIO tags: | O O O O B-short I-short I-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 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 |
TR-554 | [
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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 maintain sinogram consistency , we introduce a Radon consistency ( RC ) loss .
BIO tags: | O O O O O O O O B-long I-long O B-short O O O |
TR-555 | [
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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: Four phase - based features , namely instantaneous frequency derivative ( IF ) , baseband phase difference ( BPD ) , group delay ( GD ) and modified group delay ( MGD ) , are derived from phase spectrum .
BIO tags: | O O O O O O O B-long I-long O O B-short O O B-long I-long I-long O B-short O O B-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 |
TR-556 | [
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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 instance , the Ventral Hernia Working Group ( VHWG ) has categorized patients into 4 grades : low risk , comorbid , potentially contaminated , and infected .
BIO tags: | O 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 O O O O O O O |
TR-557 | [
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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: First of all , we propose a progressive lesion segmentation ( PLS ) algorithm that iteratively generates 2D lesion segmentations from the RECIST slice to the neighboring slices , and eventually to the edge slices in a semi - supervised manner .
BIO tags: | O O O O O O O B-long I-long I-long O B-short O O O O 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 O O O |
TR-558 | [
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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 simulation results , it follows that the PA has an obvious dramatic impact on the SR performance .
BIO tags: | O O O O O O O O B-short O O O O O O O B-short O O |
TR-559 | [
"Despite",
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"no",
"labeling",
"information",
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"image",
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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: Despite having no labeling information of the image it was tested on our algorithm yielded an average correct classification ratio ( CCR ) of 87.41 .
BIO tags: | 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 |
TR-560 | [
"The",
"operations",
"of",
"each",
"Recurrent",
"Convolution",
"Layer",
"(",
"RCL",
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"in",
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"IRCNN",
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"similar",
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"operations",
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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 operations of each Recurrent Convolution Layer ( RCL ) in the IRCNN block are similar to operations in .
BIO tags: | O O O O B-long I-long I-long O B-short O O O B-short O O O O O O O |
TR-561 | [
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"main",
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"novel",
"two",
"-",
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"appearance",
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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 our main contribution , we propose a novel two - stream convolutional neural network ( CNN ) that simultaneously uses two of the most distinctive and persistent features available : the vehicle appearance and its license plate .
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 O |
TR-562 | [
"We",
"use",
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"batch",
"stochastic",
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"descent",
"(",
"SGD",
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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 use mini - batch stochastic gradient descent ( SGD ) to learn the model parameters with a fixed weight decay of , momentum of 0.9 , and a batch size of 15 for network training .
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 O O O O O O O O O O O O O |
TR-563 | [
"Following",
"the",
"official",
"evaluation",
"metrics",
",",
"we",
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"at",
"10",
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"MRR",
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"to",
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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: Following the official evaluation metrics , we use recall at 10 ( R@10 ) and mean reciprocal rank ( MRR ) to report the performance of our models .
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 |
TR-564 | [
"Compressive",
"Sensing",
"(",
"CS",
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"has",
"emerged",
"as",
"a",
"promising",
"technique",
"to",
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"of",
"data",
"communicated",
"in",
"WSNs",
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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: Compressive Sensing ( CS ) has emerged as a promising technique to reduce the amount of data communicated in WSNs .
BIO tags: | B-long I-long O B-short O O O O O O O O O O O O O O O B-short O |
TR-565 | [
"Since",
"the",
"values",
"are",
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"in",
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"complement",
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",",
"returns",
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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 values are represented in 's complement representation , returns the most significant bit ( MSB ) of its argument .
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 |
TR-566 | [
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"inpainting",
"in",
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"domain",
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"the",
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"were",
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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 inpainting in the symbolic domain , the early attempts were based on Markov Chain Monte Carlo ( MCMC ) methods which allowed users to specify certain constraints , e.g. , which notes to generate and which to retain .
BIO tags: | O O O O O O O O O O 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 O O O O O O 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.
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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: By applying our method to various tasks , we also find that ( 1 ) our approach could effectively detect redundant relations extracted by open information extraction ( Open IE ) models , that ( 2 ) even the most competitive models for relational classification still make mistakes among very similar relations , and that ( 3 ) our approach could be incorporated into negative sampling and softmax classification to alleviate these mistakes .
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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: Specifically , precise phase transition and fundamental limits exist for one of the central graph generation models to test community detection algorithms , the so - called Stochastic Block Model SBM ( , , ) and its symmetric variant Symmetric Stochastic Block Model , SSBM ( , , , ) ( ) .
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TR-569 | [
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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: Several deep learning techniques were recently proposed based on convolution neural network ( CNN ) for real - time classification and recognition in computer vision .
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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 context - aware image - based classification , support vector machine ( SVM ) classifier with radial basis function ( RBF ) was used and implemented in MATLAB .
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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: Obfuscating the RTL code with a finite state machine ( FSM ) has also been proposed , where the code later traversed with a key sequence or code - word .
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 O O O O O O |
TR-572 | [
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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: These mistakes become gradually more important because of numerous and increasing number of real life AI applications in such sensitive areas as security , health care , autonomous vehicles and robots .
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 O O O O O O 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(' ')}}
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 the previous work , we use the average precision ( AP ) metric .
BIO tags: | O O O O O O O O B-long I-long O B-short O O O |
TR-574 | [
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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 upsampling branch is implemented as a Feature Pyramid Network ( FPN ) , reconstructing high - level semantic feature maps at four scales simultaneously .
BIO tags: | 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 |
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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 present the first study on the learning dynamics of neural language models , using a simple and flexible analysis method called Singular Vector Canonical Correlation Analysis ( SVCCA ) , which enables us to compare learned representations across time and across models , without the need to evaluate directly on annotated data .
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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: In addition , such channel codes should have good performance in a high - reliability regime ( i.e. , frame error rate ( FER ) in the range of to ) such that both the water - fall performance and the error floor performance need to be considered .
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TR-577 | [
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4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
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: For the case when each class - conditional distribution is a Gaussian , this procedure is equivalent to estimating a Gaussian Mixture Model ( GMM ) using the unlabeled data from the unseen classes .
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 O O O O O O O |
TR-578 | [
"These",
"latter",
"models",
"have",
"outperformed",
"simple",
"recurrent",
"networks",
"(",
"SRN",
")",
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"to",
"deal",
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"complex",
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"sequences",
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4,
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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: These latter models have outperformed simple recurrent networks ( SRN ) in sequential data processing and are able to deal with complex structured sequences .
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 O |
TR-579 | [
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",",
"Automated",
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"FER",
")",
"has",
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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: However , Automated Facial Expression Recognition ( FER ) has remained a challenging problem because of in - the - wild environmental conditions and most of existing methods lack generalizability when applied to images captured in wild .
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 O O O O O O O O O O |
TR-580 | [
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"CV",
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"driver",
"assistance",
"systems",
"(",
"ADAS",
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",",
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"algorithms",
"and",
"generally",
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"intended",
"to",
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"viewed",
"by",
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"development",
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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 common CV applications such as advanced driver assistance systems ( ADAS ) , the system captures images intended to be consumed solely by vision processing algorithms and generally not intended to be viewed by humans(Perhaps with the exception of debugging and development purposes . ) .
BIO tags: | O O B-short 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 O O O O O O O O O O O O O O O O O O O O O O O |
TR-581 | [
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"accordance",
"with",
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"in",
"the",
"context",
"of",
"the",
"absence",
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"twice",
"as",
"good",
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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: In accordance with the comment made above in the context of the absence of diffusing nodes , ShP trees are almost twice as good as StT ones .
BIO tags: | 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 B-short O O |
TR-582 | [
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"this",
"paper",
",",
"we",
"propose",
"Energy",
"Harvesting",
"Fair",
"Scheduling",
"(",
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"-",
"scale",
"energy",
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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 this paper , we propose Energy Harvesting Fair Scheduling ( EHFS ) to optimise data collection in a large - scale energy harvesting sensor network .
BIO tags: | O O O 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 O O O |
TR-583 | [
"BSCs",
"are",
"controlled",
"by",
"Mobile",
"Switching",
"Centres",
"(",
"MSCs",
")",
"that",
"accommodates",
"the",
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"Location",
"Register",
"(",
"VLR",
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"–",
"the",
"registry",
"for",
"holding",
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"information",
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"which",
"the",
"mobile",
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"is",
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4,
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4,
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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: BSCs are controlled by Mobile Switching Centres ( MSCs ) that accommodates the Visitor Location Register ( VLR ) – the registry for holding the information about the LA in which the mobile devices is located ( Figure ) .
BIO tags: | B-short 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 B-short O O O O O O O O O O O |
TR-584 | [
"BPRMF",
":",
"Bayesian",
"Personalized",
"Ranking",
"on",
"Matrix",
"FactorizationRendle:2009",
",",
"which",
"introduces",
"BPR",
"pairwise",
"ranking",
"loss",
"into",
"factorization",
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"learning",
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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: BPRMF : Bayesian Personalized Ranking on Matrix FactorizationRendle:2009 , which introduces BPR pairwise ranking loss into factorization model learning .
BIO tags: | B-short O B-long I-long I-long I-long I-long I-long O O O B-short O O O O O O O O |
TR-585 | [
"By",
"evaluating",
"these",
"two",
"functions",
"on",
"two",
"disjoint",
"domains",
"(",
"which",
"are",
"separated",
"by",
"an",
"anhysteresis",
"curve",
")",
",",
"we",
"can",
"determine",
"whether",
"it",
"has",
"CW",
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"/",
"O",
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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: By evaluating these two functions on two disjoint domains ( which are separated by an anhysteresis curve ) , we can determine whether it has CW I / O dynamics using Theorem .
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-short I-short I-short I-short O O O O |
TR-586 | [
"To",
"quantify",
"the",
"effect",
"of",
"the",
"projection",
"grouping",
"module",
",",
"here",
"we",
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"FPS",
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"hundred",
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0,
2,
2,
4,
1,
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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: To quantify the effect of the projection grouping module , here we count the number of false projection selection ( FPS ) per hundred channels .
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-587 | [
"This",
"reduces",
"the",
"greedy",
"phase",
"to",
"computing",
"a",
"maximal",
"independent",
"set",
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"MIS",
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"on",
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"each",
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"vertices",
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"facilities",
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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: This reduces the greedy phase to computing a maximal independent set ( MIS ) on a suitable intersection graph for each category where the vertices are the facilities in the category and the there is an edge between two vertices if they are within distance of each other .
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 O O O O O O O O O O O O O O O O O O O O O O |
TR-588 | [
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"an",
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"smaller",
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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 show in the sequel how to derive an upper bound of called UB by restricting ourselves to all motifs in which the first integer is smaller than or equal to .
BIO tags: | O O O O O O O O O B-long I-long O O B-short O O O O O O O O O O O O O O O O O O |
TR-589 | [
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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 model takes all unique vocabulary terms pertaining to all tested word association and word similarity datasets ( ) and performs Stochastic Gradient Descent ( SGD ) with batch size trained between 50 epochs for each dataset .
BIO tags: | 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-590 | [
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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: These images were captured by AUV Sirius during Australia ’s integrated marine observation system ( IMOS ) benthic monitoring program at multiple temperate locations ( Table ) around Australia .
BIO tags: | O O O O O B-short O 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 O O |
TR-591 | [
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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 , implementation with field programmable gate array ( FPGA ) has shown much better performance than multi - core and GPU implementations .
BIO tags: | O 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 B-short O O |
TR-592 | [
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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 evaluate our model by using rank-1 identification accuracy as well as Cumulative Match Characteristics ( CMC ) curves .
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 |
TR-593 | [
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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: Using a Spatial Transformer Network ( STN ) followed by scattered interpolation , the source image is first projected onto UV ( texture ) space of dimensionality , where is texture resolution and is the number of body segments in the model ( , ) .
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 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-594 | [
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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 , as seen in Table 2 of SM B , whether or not depends on the dataset ; IR and Collective rationality holds , but , CR , may not hold for a given dataset .
BIO tags: | O O O O O O O O B-short O O O O O O O O O O B-short O B-long I-long O O O O B-short O O O O O O O O O |
TR-595 | [
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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 edge user allocation ( EUA ) problem challenges service providers with the objective to maximize the number of allocated app users with hired computing resources on edge servers while ensuring their fixed quality of service ( QoS ) , e.g. , the amount of computing resources allocated to an app user .
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 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-596 | [
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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: SST : Stanford Sentiment Treebank with binary labels .
BIO tags: | B-short O B-long I-long I-long O O O O |
TR-597 | [
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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: Though there exist some tools ( e.g. , NOMAD , and Genetic Algorithm ( GA ) in MATLAB ) to solve such problems , we find they can not guarantee a good solution in reasonable time for a moderate number of intermediate nodes , e.g. , .
BIO tags: | O O O O O O O O B-short O O B-long I-long O B-short 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 |
TR-598 | [
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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: In DeepR , the standard Stochastic Gradient Descent ( SGD ) optimizer is augmented with a random walk in parameter space .
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 |
TR-599 | [
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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: False Positive Ratio ( FPR ) : FPR is the number of misclassified legitimate applications , divided by the number of benign applications .
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 |