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TR-300 | [
"Alzheimer",
"'s",
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"is",
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"most",
"common",
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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: Alzheimer 's Disease ( AD ) is the most common form of dementia .
BIO tags: | B-long I-long I-long O B-short O O O O O O O O O |
TR-301 | [
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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: Starting from the LLF , an additional set of 14 High Level Features ( HLF ) is computed .
BIO tags: | O O O B-short O O O O O O B-long I-long I-long O B-short O O O O |
TR-302 | [
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"Universal",
"Dependencies",
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"ACL2013",
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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 Universal Dependencies ( UD ) project McDonald : ACL2013 provides a rare opportunity to overhaul grammatical treatments of Japanese because otherwise the research area is considered too mature to change .
BIO tags: | O B-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-303 | [
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"-",
"centering",
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"MC",
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"CF",
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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: Mean - centering ( MC ) and collaborative filtering ( CF ) PSL model : We enrich the above model by adding user and item similarity rules explained in Section sec : userbased .
BIO tags: | B-long I-long I-long O B-short O O B-long I-long O B-short O B-short O O O O O O O O O O O O O O O O O O O O O |
TR-304 | [
"BP",
"is",
"band",
"power",
",",
"TS",
"is",
"Tsallis",
"Entropy",
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1,
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: BP is band power , TS is Tsallis Entropy .
BIO tags: | B-short O B-long I-long O B-short O B-long I-long O |
TR-305 | [
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"they",
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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 , they also found that Convolutional Neural Networks ( CNNs ) were more prevalent in the medical imaging analysis , with end - to - end trained CNNs becoming the preferred approach .
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 O O O |
TR-306 | [
"Experimental",
"results",
"on",
"three",
"datasets",
",",
"including",
"PASCAL",
"VOC",
"2007",
",",
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"MS",
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"demonstrate",
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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: Experimental results on three datasets , including PASCAL VOC 2007 , ImageNet DET , MS COCO , demonstrate the effectiveness of our proposed algorithm over other state - of - the - arts , in terms of average recall ( AR ) for region proposal and average precision ( AP ) for object detection .
BIO tags: | O O O O O O O B-short 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 O O O O O B-long I-long O B-short O O O O O B-long I-long O B-short O O O O O |
TR-307 | [
"Recently",
",",
"some",
"efforts",
"are",
"devoted",
"to",
"Open",
"Relation",
"Extraction",
"(",
"Open",
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"aiming",
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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: Recently , some efforts are devoted to Open Relation Extraction ( Open RE ) , aiming to cluster relation patterns into several relation types instead of redundant relation patterns .
BIO tags: | O O O O O O O B-long I-long I-long O B-short I-short O O O O O O O O O O O O O O O O O |
TR-308 | [
"Since",
"the",
"KITTI",
"Average",
"Orientation",
"Similarity",
"(",
"AOS",
")",
"evaluation",
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"also",
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"2D",
"detection",
"performance",
",",
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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: Since the KITTI Average Orientation Similarity ( AOS ) evaluation is also dependent on 2D detection performance , the projection of each 3D box is replaced with its corresponding 2D box from the 2D detector , which allows AOS to be evaluated .
BIO tags: | O O B-short 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 |
TR-309 | [
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"Area",
"Under",
"Curve",
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"AUC",
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"can",
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"used",
"as",
"the",
"overall",
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"PDJ",
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4,
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4,
4,
4,
4,
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1,
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 Area Under Curve ( AUC ) can be used as the overall evaluation of the PDJ curve .
BIO tags: | O B-long I-long I-long O B-short O O O O O O O O O O B-short O O |
TR-310 | [
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",",
"we",
"collected",
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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: Meanwhile , we collected LFs from the Stanford LF dataset , the Old HCI 4D LF dataset , the New HCI 4D LF benchmark , and the MIT Synthetic LF Archive .
BIO tags: | O O O O B-short O O O B-short O O O O B-short I-short I-short O O O O B-short I-short I-short O O O O B-short O B-short O O |
TR-311 | [
"The",
"human",
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"as",
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"radiation",
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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 human body is composed of multiple tissues such as skin , fat , or blood , each with their own response to THz radiation .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O B-short O O |
TR-312 | [
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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: Algorithm SV does neither minimum nor maximum labeling : the first update in a round connects roots to smaller vertices , the second connects roots to larger vertices .
BIO tags: | O B-short O O O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-313 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Other alternative artificial - intelligence techniques , such as FL or Bayesian decision networks , have been applied to forecast low - visibility conditions .
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 |
TR-314 | [
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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: More recently , Trust Region Policy Optimization ( TRPO ) performs an optimization for each step of the policy update and the natural gradient policy update is a particular case of TRPO .
BIO tags: | O O O B-long I-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O O B-short O |
TR-315 | [
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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 propose to regularize the loss by enforcing the predictions to be less certain when dealing with uncertain transferred knowledge by the use of maximum entropy regularizer ( MER ) DBLP : journals / corr / PereyraTCKH17 .
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 B-long I-long I-long O B-short O B-short O O O O O O O |
TR-316 | [
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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: To adapt it for machine learning ( ML ) problems ( following the recent observations by Fong et al ) , the paper introduces a new ingredient of the lens framework - parameterization and learning , defines the notion of an asymmetric learning delta lens with amendment ( ) , and shows how es can be organized into a symmetric monoidal category .
BIO tags: | O O O O B-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O 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-317 | [
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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 the impressive denoising results with these innovative network structures , they fall into a category of an end - to - end network that typically uses the mean squared error ( MSE ) between the network output and the ground truth as the loss function .
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 B-long I-long I-long O B-short O O O O O O O O O O O O O O |
TR-318 | [
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"IEEE",
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"Spring",
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"2013",
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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 IEEE 77th Vehicular Technology Conference ( VTC Spring ) ; 2013 ; Dresden , Germany .
BIO tags: | O B-short O B-long I-long I-long O B-short O O O O O O O O O |
TR-319 | [
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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: Relation to PPN Guidance Law and choice of gain This subsection gives the relation between the proposed guidance law given in ( ) and the Pure Proportional Navigation ( PPN ) guidance law .
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 O O O B-long I-long I-long O O O O O O |
TR-320 | [
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"denotes",
"the",
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"entity",
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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: NER denotes the features of named entity recognition .
BIO tags: | B-short O O O O B-long I-long I-long O |
TR-321 | [
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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 columns represent the CC phase length in SOC , reference C - rates derived from the crowd , the C - rates computed from the ratio of charging current ( mA ) and the battery capacity ( mAh ) , users with more than 25 samples within the CC - phase , and the percentages of the users with lower FCCs .
BIO tags: | O O O O B-short 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 B-short O O O O O 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 B-short O |
TR-322 | [
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"-",
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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: RST - DT based on Rhetorical Structure Theory ( RST ) represents a text into a hierarchical discourse tree .
BIO tags: | B-short I-short I-short O O B-long I-long I-long O B-short O O O O O O O O O O |
TR-323 | [
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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: 2017 , pages 148 - 167 , New York , NY , USA , 2017 .
BIO tags: | O O O O O O O B-long I-long O B-short O B-short O O O |
TR-324 | [
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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 prerpocessing of the ECG signal , we apply a succession of high and low pass filters , and Discrete Wavelet Transform ( DWT ) to minimize the signal to noise ratio .
BIO tags: | O O O O B-short 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 |
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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 improves the system 's performance on unseen relations and entities ( sec : types ) ; the separation of planning from realizations allows the incorporation of a simple output verification heuristic that drastically improves the correctness of the output ( sec : rerank ) ; and finally we incorporate a post - processing referring expression generation ( REG ) component , as proposed but not implemented in our previous work , to improve the naturalness of the resulting output ( sec : reg ) .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O O O 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.
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: Because of the variety of techniques used , the structure of this section has been chosen to properly cover the areas included in AI that come in handy in this work .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O B-short O O O O O O O O |
TR-327 | [
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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 th pad will be used to blind the th message of the sender in the th extended OT .
BIO tags: | O O O O O O O O O O O O O O O O O O B-short O |
TR-328 | [
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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 predictions might also be incorporated into other complex calculations such as inversions or probabilistic seismic hazard analysis ( PSHA ) .
BIO tags: | O O 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 |
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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: Virtual Reality ( VR ) is one of the most promising among of these technologies that can help us greatly to solve many of these problems .
BIO tags: | B-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O O O |
TR-330 | [
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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: Based on the user profile , the emerging convolutional neural network ( CNN ) is employed for user classification .
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 |
TR-331 | [
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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 , in , the authors studied the achievable EH TS throughput using AF relay without optimizing the total EH output for TWR system .
BIO tags: | O O O O O O O O O O O B-short O O B-short O O O O O B-short O O B-short 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: This allow us to build a hashtag index that is then used for retrieval purposes where documents are re - ranked using social pseudo relevance feedback ( SPRF ) and social query expansion ( SQE ) techniques .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O B-long I-long I-long I-long O B-short O O B-long I-long I-long O B-short O O O |
TR-333 | [
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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: Such DPs are often unions of disjoint polyhedra that exclude the region around a particular solution of the Linear Program ( LP ) relaxation .
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-334 | [
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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: Noise clinic ( NC ) estimates the noise model dependent on signal and frequency followed by denoising the image using non - local Bayes ( NLB ) .
BIO tags: | B-long I-long O B-short O O O O O O O O O O O O O O O O B-long I-long I-long I-long O B-short O O |
TR-335 | [
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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 implementations are based on Faster RCNN using Caffe , and the networks are optimized via stochastic gradient descent ( SGD ) with base learning rate as .
BIO tags: | O O O O O O B-short O O O O O O O O O B-long I-long I-long O B-short O O O O O O O |
TR-336 | [
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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 Russian , we use a composition of three different hypernymy pair datasets summarized in : a dataset extracted from the lib.rus.ec electronic library using the Hearst:92 patterns implemented for the Russian language in the PatternSim(https://github.com / cental / patternsim ) toolkit , a dataset extracted from the Russian Wiktionary , and a dataset extracted from the sense definitions in the Small Academic Dictionary ( SAD ) of the Russian language .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O |
TR-337 | [
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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 score proposed above strongly depends on the quality of ( the prediction provided by the Singing Voice Detection ( SVD ) system ) .
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 |
TR-338 | [
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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 record specific search , we modify the weight initialization step in the coordinate ascent ( CA ) algorithm .
BIO tags: | O O O O O O O O O O O O O B-long I-long O B-short O O O |
TR-339 | [
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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: Regarding the mix - discrete nonlinear characteristics of the established optimization model , an enhanced grey wolf optimizer ( GWO ) algorithm is developed to solve the proposed model .
BIO tags: | O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O O O O O |
TR-340 | [
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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 , in a social network consisting of individuals with known labels being smoker or non - smoker and individuals with unknown labels , the NC method predicts the latter as smokers or non - smokers based on their network features , i.e. , their network " relationships " with the former .
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 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-341 | [
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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 this paper , we combine Reinforcement Learning ( RL ) with Agent Based Models ( ABM ) in order to address the self - organizing dynamics of social segregation and explore the space of possibilities that emerge from considering different types of incentives .
BIO tags: | 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 O O 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-342 | [
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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 a given arrival rate at the first queue , , the RA with priority scheme will provide a better service rate to that queue if compared to the RA scheme and this means that queue 1 will be empty with a higher probability and this means that queue 2 will have a higher service rate as well under the RA with priority scheme as compared to the RA scheme .
BIO tags: | 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 O O O O O O O O O O O O O O O O O O O O O O O |
TR-343 | [
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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 welcome this trend but think there is room to include many of the contributions of traditional software engineering , especially as agile projects mature and enter maintenance mode ( thereby becoming much more like traditional SE projects and requiring more careful change management in particular ) .
BIO tags: | O O O 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 B-short O O O O O O O O O O O |
TR-344 | [
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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 additive white Gaussian noise ( AWGN ) channel is assumed , and a leakage - based precoding scheme is utilized to cancel interference .
BIO tags: | B-long I-long I-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O |
TR-345 | [
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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: Neural Architecture Search ( NAS ) was proposed to automate the neural architecture design without requiring extensive domain expertise and significant manual efforts .
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-346 | [
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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 show this skip - gram with negative sampling ( SGNS ) is compared to the count - based Singular Value Decomposition ( SVD ) , Positive Pointwise Mutual Information ( PPMI ) and Global Word Vectors ( GloVe ) .
BIO tags: | 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 B-long I-long I-long O B-short O O B-long I-long I-long I-long O B-short O O B-long I-long I-long O B-short O O |
TR-347 | [
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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: [ 1]James Thewlis and Iasonas Kokkinos were with Facebook AI Research ( FAIR ) during this work .
BIO tags: | O O O O O O O O B-long I-long I-long O B-short O O O O O |
TR-348 | [
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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 observed three different situations in which posing a task as question answering is useful : ( 1 ) when filling human information needs , and the data is already naturally formatted as QA ; ( 2 ) when the flexibility inherent in natural language annotations is desired , either because the task does not fit into a formalism , or training people in the formalism is too expensive ; and ( 3 ) to transfer learned representations or model architectures from a QA task to another task .
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 O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O 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-349 | [
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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 apply DA in the unified deep architecture , we use a deep neural network with domain - adversarial training , in a manner proposed in .
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 O O O O O |
TR-350 | [
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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: Coded Modulation with Symbol - Wise Hard Decision DecodingWe now consider a CM scheme with the conventional symbol - wise HDD ( HDD - SW ) .
BIO tags: | O O O O O O O O O O O O B-short O O O O O O O O O B-short I-short I-short O O |
TR-351 | [
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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: HV and HUV are expressed by linking the property to the object ( e.g. by saying " Date of Birth - Has Value - Plato " ) .
BIO tags: | B-short O B-short O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-352 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: By placing a Gaussian Process ( GP ) prior on the transition function , we can obtain the Gaussian process state - space model ( GP - SSM ) , which is a fully Bayesian non - parametric treatment on modeling problem .
BIO tags: | O O O B-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 I-long I-long O B-short I-short I-short O O O O O O O O O O O O O O O |
TR-353 | [
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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: applied evidence theory ( ET ) to fuse hybrid uncertain factors on the solutions of uncertain power flow and optimal power flow .
BIO tags: | 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-354 | [
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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: One of the most popular conditions for exact sparse recovery via or minimization is related to the Restricted Isometry Property ( RIP ) introduced by Cands and Tao , which was recalled as follows .
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 O O O O O O O O O |
TR-355 | [
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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: Second , the approach is efficient , since the initial DNN model does not need to be re - trained for re - calibration .
BIO tags: | 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 |
TR-356 | [
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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 , we want to see : the impact of our global model component , and the impact of the language model ( LM ) loss .
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 O B-short O O O |
TR-357 | [
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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 this paper , we propose a deep Multiple Instance Learning ( MIL ) framework that operates on a bag of instances generated from each image .
BIO tags: | O O O O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O O |
TR-358 | [
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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 user data to be transmitted to one user equipment ( UE ) is available in multiple BSs of the network , and is simultaneously transmitted from multiple BSs .
BIO tags: | O O O O O O O O B-long I-long O B-short O O O O O B-short O O O O O O O O O O B-short O |
TR-359 | [
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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: On the other side , the radius of the ST1 sphere is usually bounded away from zero even when and .
BIO tags: | O O O O O O O O O B-short O O O O O O O O O O O |
TR-360 | [
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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: Different from Named Entity Recognition ( NER ) , ER also tag nominal objects such as " I " , " you " and referential locations like " di sana ( over there ) " .
BIO tags: | 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 O O |
TR-361 | [
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The input is the Shortest Dependency Path ( SDP ) between a pair of protein .
BIO tags: | O O O O B-long I-long I-long O B-short O O O O O O O |
TR-362 | [
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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 the considered model , each user transmits a superposition of two messages to a base station ( BS ) with separate transmit power and the BS uses a successive decoding technique to decode the received messages .
BIO tags: | 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 O O O O O O O O O O O O |
TR-363 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: It is a balance between the efficiency in the execution of computations on the one hand and security in the implementation of the features of the signature principle that depend on preimage resistant ( PR ) , second preimage resistant ( SPR ) , collision resistant ( CR ) and mixing - transformation on the other hand .
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 B-long I-long 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 O O O O O O O O |
TR-364 | [
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"our",
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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: Finally , with a bit of squinting , our problem can be seen to be related to a flavor of policy learning in Reinforcement Learning ( RL ) called Reward Re - weighted Regression ( RWR ) .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O B-long I-long O B-short O O B-long I-long I-long I-long I-long O B-short O O |
TR-365 | [
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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: Consequently , stochastic gradient descent ( SGD ) has been a typical alternation .
BIO tags: | O O B-long I-long I-long O B-short O O O O O O O |
TR-366 | [
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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 Independent component analysis ( ICA ) will capture more variations in the images than the current approach .
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-367 | [
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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 both cases the upper bound calculation reduces to a convex optimization with linear matrix inequality ( LMI ) constraints .
BIO tags: | 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-368 | [
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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: After making a trade - off between model performance and training complexity , we choose the Gated Recurrent Unit ( GRU ) as recurrent unit implementation .
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 O |
TR-369 | [
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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: 2 ) image to image domain : the fully sampled ( FS ) image is obtained from the zero - filled ( ZF ) image .
BIO tags: | O O O O O O O O B-long I-long O B-short O O O O O O B-long I-long I-long O B-short O O O |
TR-370 | [
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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 different mechanism to improve the video quality over wireless networks compares the efficiency of Random Linear Coding ( RLC ) and XOR - based coding .
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 B-short O O O O |
TR-371 | [
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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 simplest definition of the ' climate ' of the L96 system is the probability density function ( PDF ) of the individual values .
BIO tags: | O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O |
TR-372 | [
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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 the frequency domain , Integral Equation ( IE ) , , Finite Element ( FE ) , , and Discontinuous Galerkin ( DG ) methods have been successfully applied to a variety of periodic electromagnetic systems .
BIO tags: | O O O O O B-long I-long O B-short O O O B-long I-long O B-short 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 |
TR-373 | [
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"Russicum",
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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 rigorously compare Araneum Russicum ( arguably the largest web - harvested corpus for Russian ) against a small but carefully balanced and designed Russian National Corpus ( further RNC ) .
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 B-long I-long I-long O O B-short O O |
TR-374 | [
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"order",
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"effects",
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"Doppler",
"and",
"multipath",
"fading",
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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 order to capture the effects of Doppler and multipath fading in the received signal with respect to time , we assume the transmission of an unmodulated radio frequency ( RF ) carrier signal , where is the carrier frequency and is the initial phase .
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 B-long I-long O B-short O O O O O O O O O O O O O O O |
TR-375 | [
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"Arbitration",
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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 the channel has been idle for an Arbitration Inter Frame Space ( AIFS ) , a random backoff ( BO ) drawn from CW starts to count down and is frozen as soon as the channel is detected as busy .
BIO tags: | O O O O O O O O B-long I-long I-long I-long O B-short O O O O B-long O B-short O O O B-short O O O O O O O O O O O O O O O O O |
TR-376 | [
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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: X - ray crystallography and nuclear magnetic resonance ( NMR ) are the mainly used experimental determination methods for protein structure .
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-377 | [
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"the",
"second",
"set",
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"we",
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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 the second set of charging measurements , we used USB2.0 and AC wall charger , and kept the smartphones idle in airplane mode in order to maintain a constant current supply to the battery pack .
BIO tags: | O O O O O O O O O O B-short O B-short O O O O O O O O O O O O O O O O O O O O O O O O |
TR-378 | [
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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: From this point of view ; sensitivity , precision , specificity , matthews correlation coefficient ( MCC ) performances measurements were obtained from confusion matrices .
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 |
TR-379 | [
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"tasks",
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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 SA tasks , Pearson correlation coefficient ( PCC ) is one of the most used metrics .
BIO tags: | O B-short O O B-long I-long I-long O B-short O O O O O O O O O |
TR-380 | [
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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 SPINE - XI , they applied conditional random field ( CRF ) model and it improved both angle distribution and prediction accuracy .
BIO tags: | 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 O O O O O O |
TR-381 | [
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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: extends RISC - V processor cores to support hardware dynamic information flow tracking ( DIFT ) .
BIO tags: | O B-short I-short I-short O O O O O B-long I-long I-long I-long O B-short O O |
TR-382 | [
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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 either by reconstructing the output ( for AE and VAE ) , or by using a nearest neighbour approach for the models lacking a reconstruction .
BIO tags: | O O O O O O O O O O B-short O B-short O O O O O O O O O O O O O O O O |
TR-383 | [
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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: Bar plot of the average improvement in the total score per minute achieved by a crowd worker or a simulated annealing run in the SA , Crowd , and Hybrid approaches .
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 B-short O O O O O O O |
TR-384 | [
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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 often the case because the business model of the platform providers is to establish themselves as the IoT hub , paying little attention to platform interoperability issues .
BIO tags: | 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 |
TR-385 | [
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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: From the joint problem , we derive a pure scheduling problem ( for fixed transmit powers ) as a Boolean linear programming ( BLP ) problem and a pure power control problem ( for a fixed schedule ) as a mixed integer linear programming ( MILP ) problem .
BIO tags: | 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 B-long I-long I-long I-long O B-short O O O |
TR-386 | [
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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: traditional methods of feature extraction ( e.g. , HOG and SIFT ) and classification ( e.g. , Support Vector Machine ( SVM ) and Neural Network ( NN ) ) are not sufficient to deal with this complex problem of food places recognition .
BIO tags: | O O O O O O O O B-short O B-short O O O O O O B-long I-long I-long O B-short 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 |
TR-387 | [
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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: G. Caire and A.F. Molisch are with the Department of Electrical Engineering , University of Southern California , Los Angeles , CA 90089 , USA e - mails : caire , [email protected] .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O B-short O O B-short O O O O O O O O |
TR-388 | [
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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 show the effectiveness of our proposed approach by conducting quantitative comparisons using well - known QA datasets and models as well as qualitative analysis of our model .
BIO tags: | O O O O O O O O O O O O O O O O B-short O O O O O O O O O O O O |
TR-389 | [
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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 above maximization problem is subject to the following constraints : a ) Power supplied by an ET located at position , must be at least equal to the power requirement of the sensor nodes that receive power from that ET ( Equation 7 of ) , b ) A sensor node is associated with exactly one ET and no sensor node ( Equation 8 of ) , c ) An ET located at is able to transfer power to at least one sensor node ( Equation 9 and 10 of ) , d ) the number of landmarks can not exceed a preset maximum number of landmarks ( Equation 11 of ) e ) A sensor node is associated with at most one mission ( Equation 12 of ) , f ) A set of sensor nodes participating in a mission , must fulfil the sensing requirement of ( Equation 13 of ) .
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 O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O 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-390 | [
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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: Test - retest intraclass correlation coefficients ( ICC ( 1,1 ) ) and their 95 confidence intervals ( CI ) are calculated on both test - retest cohorts .
BIO tags: | O O O B-long I-long I-long O B-short O O O O O O O B-long I-long O B-short O O O O O O O O O O |
TR-391 | [
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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: Tucker and its special case Canonical Polyadic ( CP ) decompositions are examples that factor a N - dimensional tensor into lower dimensional factors .
BIO tags: | 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 |
TR-392 | [
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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 route choices are stochastic , these studies did not work directly with the covariance of demand among all O - D pairs .
BIO tags: | 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 O O |
TR-393 | [
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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: Recently techniques like Class Activation Maps ( CAM ) and Grad - CAM has been proposed for producing visual explanation for the decisions from a large class of CNN models .
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 B-short O O |
TR-394 | [
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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: Recently proposed Permutation Invariant Training ( PIT ) trains a neural network that separates the speaker - specific speech signals , and then determines the best output - label assignment which minimizes the separation error .
BIO tags: | O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-395 | [
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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: Similarly , principal component analysis ( PCA ) was applied to the same segmentation images ( containing LV blood - pool and myocardium labels ) to generate dimensional linear projection of the labels , which requires additional spatial - normalisation prior to linear mapping .
BIO tags: | 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 O O O O O O O O O O O O O O O O |
TR-396 | [
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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: Comparison of several descriptors such as Local Binary Patterns ( LBP ) and Principal Component Analysis was carried out across multiple scales .
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 |
TR-397 | [
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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 linear matrix inequality ( LMI ) ( ) is a computational tool to find a gain for a given network and graph with a minimum connectivity threshold at most equal to ( see Example ) .
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 |
TR-398 | [
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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: Many of these lists included additional information about the autonomous system number ( ASN ) and partial geolocation information ( e.g. , MDL MDL and Malc0de malc0de ) .
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 B-short I-short O B-short I-short O O |
TR-399 | [
"Names",
"are",
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4,
4,
4,
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Names are anonymized as AA and BB .
BIO tags: | O O O O B-short O B-short O |