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TR-1000 | [
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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 authors discuss a potential application of UAVs in delivering IoT services .
BIO tags: | O O O O O O O O O B-short O O B-short O O |
TR-1001 | [
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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 conduct the same experiments on two other models , and , and observe similar trends of improvements brought by learning with the depth loss ( from to + DL ) , constructing the depth cost volume ( from + DL to ) , and applying to correct the bias in stereo depth estimation ( comparing + with ) .
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 B-short O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-1002 | [
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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 frequency of Latent Sector Errors - LSEs is reported in .
BIO tags: | O O O B-long I-long I-long O B-short O O O O |
TR-1003 | [
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"Montreal",
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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 Advances in Neural Information Processing Systems ; NIPS : Montreal , Quebec , Canada , 2015 ; pp .
BIO tags: | O O O B-long I-long I-long I-long O B-short O O O O O O O O O O O |
TR-1004 | [
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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: Directional modulation ( DM ) , as a emerging and promising technique of physical layer security ( PLS ) in wireless networks , has attracted tremendous research interests from both academia and industry world .
BIO tags: | B-long I-long 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 O O O O O O O O O O |
TR-1005 | [
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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 performance of Supervised learning algorithms like K - Nearest Neighbor [ KNN ] , Support Vector Machine [ SVM ] and Random Forest is measured based on it 's accuracy to predict correct scared text for any given chapter in the corpus .
BIO tags: | 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 O O O O O O O O O O O O O O O O O O O O O |
TR-1006 | [
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: As such , adaptation of SA methods and methodologies employed in other fieldsmoat , vbd , motiv2,motiv3 , can help understanding image analysis workflows for both developers and users .
BIO tags: | O O O O O B-short O O O O O O O O O O O O O O O O O O O O O O O O |
TR-1007 | [
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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 paired t - test was used to show that the agreement between true CT images and images generated by the proposed model was significantly higher ( ) compared to the images synthesised using the multi - atlas propagation approach .
BIO tags: | 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 |
TR-1008 | [
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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 learning model makes use of a Convolutional Neural Network ( CNN ) to compute policy decisions , one CNN - block for each state space .
BIO tags: | O O O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O |
TR-1009 | [
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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 a convex quadratic programming ( QP ) problem that can be solved with any standard QP solver up to a moderate number of kernels .
BIO tags: | O O O O B-long I-long O B-short O O O O O O O O O B-short O O O O O O O O O |
TR-1010 | [
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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: Also , there are approaches in which the use of Complementary Block Coding ( CBC ) was proposed to reduce the PAPR without the restriction of the frame size , .
BIO tags: | O O O O O O O O O O B-long I-long I-long O B-short O O O O O O B-short O O O O O O O O O |
TR-1011 | [
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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 converter acting as a load ( the inverter in the previous example ) is often controlled to synthesize a certain amount of power and therefore will exhibit a constant power load ( CPL ) behavior .
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 B-long I-long I-long O B-short O O O |
TR-1012 | [
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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 reason is that cloud providers tend to block content replication between the cloud providers with custom tailored pricing schemes : ( 1 ) A cloud provider typically encourages a social video sharing system to host user - generated contents , e.g. , the incoming traffic in Amazon EC2 ( Elastic Cloud Computing ) is not charged at all ; and ( 2 ) a cloud provider charges much more for the outgoing traffic to a different cloud provider than inside the same cloud , e.g. , for the first TB data transferred from an Virginia EC2 instance outside , the price is USD / GB if the traffic goes to a server hosted by a different cloud provider , while it is only USD / GB if the outgoing traffic remains in Amazon EC2 , even though both traffics transfer between the same pair of locations .
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 B-short O O O O O O B-short O B-long I-long I-long O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B-short O O O O B-short O O O O O B-short O O O O O O B-short O B-short O O O O O O O O O O O O O O O O O O B-short O B-short O O O O O O O B-short O O O O O O O O O O O O O |
TR-1013 | [
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Although the general performance of neural machine translation ( NMT ) models is very good given large amounts of parallel texts , some inputs can remain genuinely ambiguous , especially if the input context is limited .
BIO tags: | O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-1014 | [
"To",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: To approach this in DMR , the concept of progressive , feature - preserving shape update is introduced into the large deformation diffeomorphic metric mapping ( LDDMM ) scheme .
BIO tags: | O O O O B-short O O O O O O O O O O O O O O O B-long I-long I-long I-long I-long O B-short O O O |
TR-1015 | [
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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: Another approach to characterizing regime structure that makes use of both the instantaneous state and the recent past of the system is Hidden Markov Model ( HMM ) analysis .
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 O B-short O O O |
TR-1016 | [
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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 can connect two vertices with shortest path length ( SPL ) no less than three to guarantee that no new triangles will be introduced .
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 |
TR-1017 | [
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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: At this purpose , we plan to exploit existing data fusion schemes proposed for IoT domainfusionAlgoIoT , ahmad2016efficient , where different methodologies have been designed ( e.g. , probability based , artificial intelligence based ) aiming at combining data from multiple sensors to produce more accurate , more complete , and more dependable information that could not be possible to achieve through a single sensor .
BIO tags: | 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 |
TR-1018 | [
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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 mathematically formulate the problem of traffic engineering when the network devices have a variable fault probability during the time slots and use an Integer Linear Programming ( ILP ) solver to optimally solve the corresponding optimization problem .
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 O O O O O O O O O |
TR-1019 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: As an extension of FIR , the fashion attribute manipulation ( FAM ) aims to find " similar " clothing items by changing the unwanted attribute to the desired one , while preserving the rest of the attributes .
BIO tags: | O O O 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 |
TR-1020 | [
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4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: In the proposed model , integrated risk management ( IRM ) and value at risk ( VaR ) have been used to access the risk and to establish an optimum trade - off between the risk and the profit in the system operations .
BIO tags: | O O O O O B-long I-long I-long O B-short O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-1021 | [
"The",
"practical",
"scenario",
",",
"where",
"CSIT",
"is",
"imperfect",
",",
"is",
"depicted",
"by",
"means",
"of",
"rate",
"saturation",
"in",
"the",
"case",
"of",
"NoRS",
",",
"while",
"RS",
"provides",
"an",
"unsaturated",
"rate",
"."
] | [
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
1,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The practical scenario , where CSIT is imperfect , is depicted by means of rate saturation in the case of NoRS , while RS provides an unsaturated rate .
BIO tags: | O O O O O B-short O O O O O O O O O O O O O O B-short O O B-short O O O O O |
TR-1022 | [
"For",
"simplicity",
",",
"all",
"inductors",
"and",
"capacitors",
"in",
"the",
"following",
"examples",
"are",
"being",
"modeled",
"with",
"a",
"uniform",
"equivalent",
"series",
"resistance",
"(",
"ESR",
")",
"value",
"of",
",",
"unless",
"otherwise",
"noted",
"."
] | [
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: For simplicity , all inductors and capacitors in the following examples are being modeled with a uniform equivalent series resistance ( ESR ) value of , unless otherwise noted .
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 |
TR-1023 | [
"While",
"imaging",
"modalities",
"such",
"as",
"CT",
"allow",
"precise",
"detection",
"of",
"the",
"tumors",
",",
"there",
"is",
"still",
"a",
"lack",
"of",
"automatic",
"delineation",
"tools",
",",
"and",
"the",
"evaluation",
"continues",
"to",
"rely",
"on",
"the",
"use",
"of",
"nephrometry",
"scoring",
"systems",
"based",
"on",
"manual",
"and",
"relatively",
"simple",
"imaging",
"features",
"."
] | [
4,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: While imaging modalities such as CT allow precise detection of the tumors , there is still a lack of automatic delineation tools , and the evaluation continues to rely on the use of nephrometry scoring systems based on manual and relatively simple imaging features .
BIO tags: | O O O O O B-short O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-1024 | [
"A",
"base",
"station",
"(",
"BS",
")",
"or",
"a",
"VUE",
"can",
"act",
"as",
"the",
"centralized",
"controller",
"."
] | [
4,
0,
2,
4,
1,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: A base station ( BS ) or a VUE can act as the centralized controller .
BIO tags: | O B-long I-long O B-short O O O B-short O O O O O O O |
TR-1025 | [
"The",
"instability",
"of",
"CPM",
"(",
"cost",
"per",
"mille",
")",
",",
"AWR",
"(",
"auction",
"winning",
"ratio",
")",
",",
"eCPC",
"(",
"effective",
"cost",
"per",
"click",
")",
",",
"and",
"CTR",
"(",
"click",
"-",
"through",
"rate",
")",
"for",
"two",
"sample",
"campaigns",
"without",
"a",
"controller",
"."
] | [
4,
4,
4,
1,
4,
0,
2,
2,
4,
4,
1,
4,
0,
2,
2,
4,
4,
1,
4,
0,
2,
2,
2,
4,
4,
4,
1,
4,
0,
2,
2,
2,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The instability of CPM ( cost per mille ) , AWR ( auction winning ratio ) , eCPC ( effective cost per click ) , and CTR ( click - through rate ) for two sample campaigns without a controller .
BIO tags: | O O O B-short O B-long I-long I-long O O B-short O B-long I-long I-long O O B-short O B-long I-long I-long I-long O O O B-short O B-long I-long I-long I-long O O O O O O O O O |
TR-1026 | [
"Model",
"1",
"has",
"a",
"multiple",
"input",
"single",
"output",
"(",
"MISO",
")",
"structure",
"where",
"several",
"RSSI",
"readings",
"(",
")",
"from",
"the",
"previous",
"time",
"steps",
"are",
"fed",
"into",
"the",
"network",
"to",
"get",
"the",
"single",
"location",
"at",
"time",
"step",
"(",
")",
"."
] | [
4,
4,
4,
4,
0,
2,
2,
2,
4,
1,
4,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | 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: Model 1 has a multiple input single output ( MISO ) structure where several RSSI readings ( ) from the previous time steps are fed into the network to get the single location at time step ( ) .
BIO tags: | O O O O B-long I-long I-long I-long O B-short O O O O B-short O O O O O O O O O O O O O O O O O O O O O O O O |
TR-1027 | [
"In",
"addition",
"we",
"propose",
"both",
"achievability",
"and",
"converse",
"proof",
"so",
"as",
"to",
"show",
"that",
"this",
"is",
"the",
"DoF",
"rate",
"region",
"of",
"blind",
"interference",
"alignment",
"(",
"BIA",
")",
"with",
"staggered",
"antenna",
"switching",
"."
] | [
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: In addition we propose both achievability and converse proof so as to show that this is the DoF rate region of blind interference alignment ( BIA ) with staggered antenna switching .
BIO tags: | O O O O O O O O O O O O O O O O O B-short O O O B-long I-long I-long O B-short O O O O O O |
TR-1028 | [
"The",
"introduction",
"of",
"Generative",
"Adversarial",
"Networks",
"(",
"GAN",
")",
"has",
"resulted",
"in",
"great",
"success",
"in",
"synthesizing",
"realistic",
"images",
"."
] | [
4,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The introduction of Generative Adversarial Networks ( GAN ) has resulted in great success in synthesizing realistic images .
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 |
TR-1029 | [
"However",
",",
"this",
"relationship",
"can",
"be",
"shown",
"clearly",
"by",
"calculating",
"mutual",
"information",
",",
"which",
"measures",
"the",
"degree",
"of",
"relevance",
"between",
"two",
"variables",
",",
"between",
"the",
"observable",
"CSI",
"of",
"CBS",
"and",
"remote",
"optimal",
"beam",
"pattern",
"."
] | [
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
1,
4,
1,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: However , this relationship can be shown clearly by calculating mutual information , which measures the degree of relevance between two variables , between the observable CSI of CBS and remote optimal beam pattern .
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 B-short O O O O O O |
TR-1030 | [
"We",
"call",
"this",
"newly",
"designed",
"module",
"as",
"Significance",
"-",
"aware",
"Information",
"Bottleneck",
"(",
"SIB",
")",
",",
"the",
"whole",
"framework",
"as",
"Significance",
"-",
"aware",
"Information",
"Bottlenecked",
"Adversarial",
"Network",
"(",
"SIBAN",
")",
"."
] | [
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
2,
2,
4,
1,
4,
4,
4,
4,
4,
4,
0,
2,
2,
2,
2,
2,
2,
4,
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: We call this newly designed module as Significance - aware Information Bottleneck ( SIB ) , the whole framework as Significance - aware Information Bottlenecked Adversarial Network ( SIBAN ) .
BIO tags: | O O O O O O O B-long I-long I-long I-long I-long O B-short O O O O O O B-long I-long I-long I-long I-long I-long I-long O B-short O O |
TR-1031 | [
"The",
"main",
"neural",
"network",
"architectures",
"that",
"have",
"been",
"applied",
"for",
"sentiment",
"analysis",
"are",
"recurrent",
"neural",
"networks(RNNs",
")",
"and",
"convolutional",
"neural",
"networks",
"(",
"CNNs",
")",
",",
"with",
"RNNs",
"being",
"more",
"popular",
"of",
"the",
"two",
"."
] | [
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
4,
0,
2,
2,
4,
4,
0,
2,
2,
4,
1,
4,
4,
4,
1,
4,
4,
4,
4,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The main neural network architectures that have been applied for sentiment analysis are recurrent neural networks(RNNs ) and convolutional neural networks ( CNNs ) , with RNNs being more popular of the two .
BIO tags: | O O O O O O O O O O O O O B-long I-long I-long O O B-long I-long I-long O B-short O O O B-short O O O O O O O |
TR-1032 | [
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"one",
"vertex",
"location",
"on",
"the",
"cortical",
"surface",
",",
"the",
"prediction",
"error",
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4,
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4,
4,
4,
4,
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4,
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4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: For one vertex location on the cortical surface , the prediction error was computed as the root mean squared error ( RMSE ) between its predicted measure and the actual measure .
BIO tags: | 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 O O O O O O O |
TR-1033 | [
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"the",
"original",
"DSTC7",
"challengeGunasekara:2019dstc7",
",",
"we",
"also",
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"scores",
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2,
2,
4,
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4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Following the original DSTC7 challengeGunasekara:2019dstc7 , we also report Mean Reciprocal Rank ( MRR ) scores on dstc7-ubuntu .
BIO tags: | O O O B-short O O O O O B-long I-long I-long O B-short O O O O O |
TR-1034 | [
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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 SELD task is evaluated with individual metrics for SED ( F - score ( F ) and error rate ( ER ) calculated in one - second segments ) and DOA estimation ( DOA error ( DOA ) and frame recall ( FR ) calculated frame - wise ) .
BIO tags: | O B-short O O O O O O O B-short O B-short O O O B-short O O B-long I-long O B-short O O O O O O O O O B-short O O O O O O O O B-long I-long O B-short O O O O O O O |
TR-1035 | [
"The",
"proposed",
"algorithm",
"integrates",
"sequential",
"quadratic",
"programming",
"(",
"SQP",
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"and",
"PSO",
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"named",
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2,
2,
4,
1,
4,
4,
1,
4,
4,
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3,
3,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The proposed algorithm integrates sequential quadratic programming ( SQP ) and PSO , named PSO - SQP .
BIO tags: | O O O O B-long I-long I-long O B-short O O B-short O O B-short I-short I-short O |
TR-1036 | [
"Two",
"basic",
"approaches",
"for",
"decision",
"combining",
"are",
"discussed",
"in",
"literature",
":",
"soft",
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"SD",
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"hard",
"decision",
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"combining",
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2,
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4,
4,
0,
2,
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1,
4,
4,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Two basic approaches for decision combining are discussed in literature : soft decision ( SD ) and hard decision ( HD ) combining .
BIO tags: | O O O O O O O O O O O B-long I-long O B-short O O B-long I-long O B-short O O O |
TR-1037 | [
"IO",
"/",
"s",
"or",
"IOPS",
"is",
"the",
"number",
"of",
"IO",
"operations",
"per",
"second",
"."
] | [
4,
4,
4,
4,
1,
4,
4,
4,
4,
0,
2,
2,
2,
4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: IO / s or IOPS is the number of IO operations per second .
BIO tags: | O O O O B-short O O O O B-long I-long I-long I-long O |
TR-1038 | [
"In",
"performing",
"these",
"experiments",
",",
"we",
"executed",
"queries",
"in",
"the",
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"preferences",
"taken",
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4,
4,
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1,
4,
4,
4,
4,
4,
4,
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: In performing these experiments , we executed queries in the set Complex Queries , and we associate sensing SOs with privacy preferences taken from Full PP set .
BIO tags: | 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 |
TR-1039 | [
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"that",
"above",
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"mentioned",
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"are",
"subsumed",
"by",
"the",
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] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Realizing that above - mentioned requirements are subsumed by the task of Question Answering ( QA ) driven Semantic Role Labeling ( SRL ) , Stanovsky2016EMNLP converted the annotations of a QA - SRL dataset to an Open IE corpus , resulting in more than 10,000 extractions over 3,200 sentences from Wikipedia and the Wall Street Journal .
BIO tags: | 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 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 |
TR-1040 | [
"Bottom",
"Level",
"Flattening",
"(",
"BLF",
")",
"and",
"Multiple",
"Level",
"Flattening",
"(",
"MLF",
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"hierarchy",
"modification",
"where",
"bottom",
"and",
"multiple",
"levels",
"are",
"removed",
",",
"respectively",
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4,
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4,
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4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Bottom Level Flattening ( BLF ) and Multiple Level Flattening ( MLF ) , shown in Figures ( d ) and ( e ) are similar methods of hierarchy modification where bottom and multiple levels are removed , respectively .
BIO tags: | B-long I-long I-long O B-short O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-1041 | [
"A",
"model",
"is",
"proposed",
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"which",
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"on",
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"advices",
"for",
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"Markov",
"Model",
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"Conditional",
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"Field",
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0,
2,
2,
4,
1,
4,
4,
0,
2,
2,
4,
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: A model is proposed in which focused on extracting advices for the domains of travel using Hidden Markov Model ( HMM ) and Conditional Random Field ( CRF ) .
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 B-long I-long I-long O B-short O O |
TR-1042 | [
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"Short",
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"LSTM",
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"networks",
"are",
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"kind",
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"problems",
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4,
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4,
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4,
4,
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4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Long Short Term Memory ( LSTM ) networks are a kind of gated RNN , which can avoid the gradient vanishing or exploding problems encountered by standard RNNs .
BIO tags: | B-long I-long I-long I-long O B-short O O O O O O O B-short O O O O O O O O O O O O O O O |
TR-1043 | [
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"this",
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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: To this end , to reduce the group sparsity residual and boost the accuracy of , we propose the group sparsity residual ( GSR ) based model for image denoising .
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TR-1044 | [
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BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Learning : Matrix Factorization ( MF ) methods have gained considerable attention in the last decade , especially in the field of recommender systems , possibly accelerated by the Netflix Prize to which Koren et al .
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TR-1045 | [
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Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: used an actor - critic approach to optimize an actor - value function and actor policy , based on the Deterministic Policy Gradient ( DPG ) method by Silver et al . .
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TR-1046 | [
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Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Transparency with RRs results : Researchers aligned with Factor D highlighted the importance of transparency when reporting RRs results so the practitioners can assess the applicability of RRs in their own context .
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 |
TR-1047 | [
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Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: For instance , Mean Variance Estimation ( MVE ) assumes the conditional to be Gaussian , and jointly predicts its mean and variance via maximum likelihood estimation ( MLE ) , while propose using Monte Carlo dropout to estimate predictive uncertainty .
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TR-1048 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
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BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: Among the most promising systems that can utilize deep learning are Unmanned Aerial Vehicles ( UAVs ) which are becoming an attractive solution for a wide range of applications .
BIO tags: | O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O O |
TR-1049 | [
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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 SDT network at min shows similar trend for the SST network ( Fig .
BIO tags: | O B-short O O O B-long I-long I-long O O B-short O O O O |
TR-1050 | [
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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 proposed mechanism is based on a combination of a RNN , to categorise motion intensity of the videos , and an ACO scheme , for dynamic redundancy allocation .
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 B-short O O O O O O O |
TR-1051 | [
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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 the sake of the extension of the paper we focus on the evaluation based on the instruments used to perform attacks ( PAI - Presentation Attack Instruments ) using the categorization in Table table : gpad_categorization ( the Grandtest protocol ) .
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TR-1052 | [
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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: Contention Resolution ( CR ) This module receives a stream of key - value events from one or more VA instances , grouped by key .
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TR-1053 | [
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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: DeepBGC classification is based on a Bidirectional Long Short Term Memory ( BiLSTM ) neural network , for which the input are pfam2vec embeddings .
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TR-1054 | [
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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 fact , this is a standard restriction for private alternation , and such restricted a PAFA is called a blind alternating finite automaton ( BAFA ) .
BIO tags: | O O O O O O O O O O O O O O O O B-short O O O B-long I-long I-long I-long O B-short O O |
TR-1055 | [
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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 current implementation of ChainReader , each process opens all the trajectory segment files but I / O will only happen from a specific block of the trajectory specific to that process only .
BIO tags: | O O O O O O O O O O O O O O O O B-short I-short I-short O O O O O O O O O O O O O O O O |
TR-1056 | [
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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 further introduce uncertainty quantification ( UQ ) and sensitivity analysis ( SA ) to study the impact of MR on the production process risk analysis .
BIO tags: | O O O B-long I-long O B-short O O B-long I-long O B-short O O O O O O B-short O O O O O O O |
TR-1057 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: However , high performance multiuser MIMO ( MU - MIMO ) uplink techniques rely on the availability of full channel state information ( CSI ) of all user terminals at the base station ( BS ) receiver , which presents a major challenge to their practical implementation .
BIO tags: | O O O O O B-short O B-short I-short I-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 B-long I-long O B-short O O O O O O O O O O O O O |
TR-1058 | [
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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: Moreover , we proposed an adaptive patch search ( APS ) scheme to boost the accuracy of the nonlocal similar patch selection .
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-1059 | [
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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 select the Random Forest ( RF ) model as a benchmark classifier to asses that learned features by activity2vec can be utilized by classifier models .
BIO tags: | O O O B-long I-long O B-short O O O O O O O O O O O O O O O O O O O O |
TR-1060 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: There are a number of papers that discuss elements of chatbot design , however , the main focus of these is on the system elements of the design in terms of the natural language processing ( NLP ) and knowledge retrieval 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 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-1061 | [
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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: Considering the excellent power of gradient boosting machines ( GBM ) given effective features , we use GBM with deep 3D dual path features , nodule size and cropped raw nodule CT pixels for the nodule classificationgbt .
BIO tags: | O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O B-short O O O O O O |
TR-1062 | [
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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: Others compare cloud computing providers kothari2011comparison , heterogeneous platforms che2009rodinia , and cloud support for HPC he2010case .
BIO tags: | O O O O O O O B-long I-long I-long O O O O O B-short O O |
TR-1063 | [
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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: Another assumption introduced within the Neyman - Rubin causal framework is the Stable Unit Treatment Value Assumption ( SUTVA ) .
BIO tags: | O O O O O O O O O O O O B-long I-long I-long I-long I-long O B-short O O |
TR-1064 | [
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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: Diffusion Tensor Imaging ( DTI ) and Diffusion Weighted Imaging ( DWI ) help visualize structural neuronal pathways .
BIO tags: | B-long I-long I-long O B-short O O B-long I-long I-long O B-short O O O O O O O |
TR-1065 | [
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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: But the limitation to all the approaches is that : there is no device - level trust that can prove any particular zone to external entities in case of supposing the communication to occur between different IoT networks .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B-short O O |
TR-1066 | [
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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: B. Chen is with the School of Computer Science and Information Engineering , Hefei University of Technology , China , and the Signal Processing Systems ( SPS ) Group , Department of Electrical Engineering , Eindhoven University of Technology , The Netherlands .
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 O B-short O O O O O O O O O O O O O O O O |
TR-1067 | [
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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: End - to - end OP , , versus the number of relay nodes , , for average transmit SNR dB over IID Nakagami- fading channels with different values of : ( A ) Pure RS , ( B ) Rate - Selective RS , ( C ) Repetitive transmission with MRD and ( D ) Repetitive transmission with SD .
BIO tags: | O O O O O B-short O O O O O O O O O O O O O B-short O O B-short O O O O O O O O O O O O B-short O O O O B-long I-long I-long O O O O O O O O B-short O O O O O O O B-short O |
TR-1068 | [
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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 , various neural network ( NN ) architectures such as Convolutional Neural Network ( CNN ) kim2014convolutional and Recurrent Neural Network ( RNN ) have been used for document embedding , which is further used for classification .
BIO tags: | O O O B-long I-long O B-short O O O O B-long I-long I-long O B-short O O O B-long I-long I-long O O O O O O O O O O O O O O O O O |
TR-1069 | [
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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: Purity of nearest neighbor ( NN ) classification method with different embeddings on Battig and DOTA datasets .
BIO tags: | O O B-long I-long O B-short O O O O O O O O O O O O |
TR-1070 | [
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"general",
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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: So most of the known practically efficient general and special - purpose MPC protocols are byproduct of concretely efficient OT extension protocols .
BIO tags: | 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 |
TR-1071 | [
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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: Our results obtained the place in terms of a subjective ranking based on mean opinion scores ( MOS ) to measure perceptual quality .
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 O O O |
TR-1072 | [
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",",
"we",
"use",
"normalized",
"cross",
"correlation",
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"NCC",
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: In particular , we use normalized cross correlation ( NCC ) as our appearance matching term and a Gaussian prior with mean and diagonal covariance .
BIO tags: | O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O O |
TR-1073 | [
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"complimentary",
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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: Three complimentary methods have been implemented in the code Denovo that accomplish this goal : a multigroup block ( MG ) Krylov solver , a Rayleigh Quotient Iteration ( RQI ) eigenvalue solver , and a multigrid in energy ( MGE ) preconditioner .
BIO tags: | O O O O O O O O O O O O O O O O B-long I-long O B-short O O O O O B-long I-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-1074 | [
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"Short",
"Term",
"Memory",
"(",
"LSTM",
")",
"has",
"been",
"recently",
"applied",
"to",
"video",
"analysisdonahue2015long",
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"cell",
"for",
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"information",
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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: Long Short Term Memory ( LSTM ) has been recently applied to video analysisdonahue2015long that provides a memory cell for long temporal information .
BIO tags: | B-long I-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O |
TR-1075 | [
"A",
"common",
"derivation",
"of",
"this",
"method",
"is",
"the",
"Situational",
"Judgment",
"Tests",
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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: A common derivation of this method is the Situational Judgment Tests ( SJT ) designed to use the learned knowledge in practical applications lane2013learning .
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 |
TR-1076 | [
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"Difference",
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"CD",
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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 Critical Difference ( CD ) for Nemenyi test depends upon the given confidence level ( which is 0.05 in our case ) for average ranks and number of test datasets .
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-1077 | [
"applied",
"cover",
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"to",
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"labor",
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"scheduling",
"problem",
"(",
"LCSP",
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"practical",
"requirements",
"arising",
"in",
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4,
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4
] | acronyms_and_expansions_bio_encode | Specification for BIO tags: "{{"B-short"}}" and "{{"I-short"}}" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."{{"B-long"}}" and "{{"I-long"}}" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "{{"O"}}".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: applied cover cuts to the labor constrained scheduling problem ( LCSP ) , based on practical requirements arising in industry .
BIO tags: | O O O O O B-long I-long I-long I-long O B-short O O O O O O O O O O |
TR-1078 | [
"The",
"sample",
"/",
"query",
"mechanisms",
"mainly",
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"By",
"Committee",
"(",
"QBC",
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"freund1997selective",
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"freund1993information",
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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 sample / query mechanisms mainly include Query By Committee ( QBC ) freund1997selective , freund1993information , Expected Error Reduction ( EER ) cohn1995active , melville2004diverse , Expected Model Change ( EMC ) cai2013maximizing , freytag2014selecting , and Uncertainty Sampling ( US ) yang2015multi , lewis1994heterogeneous , lewis1994sequential .
BIO tags: | O O O O O O O B-long I-long I-long O B-short O O O O O B-long I-long I-long O B-short O O O O O B-long I-long I-long O B-short O O O O O O B-long I-long O B-short O O O O O O O |
TR-1079 | [
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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 this flow allocation , network coding takes place at all intermediate nodes , then the total power consumption and the amount of conventional ports and NC ports are calculated .
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-short O O O O |
TR-1080 | [
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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 extend the 2D segmentations to 3D , we propose a volumetric progressive lesion segmentation ( PLS ) algorithm to automatically segment the 3D lesion volume from 2D delineations using a scale - invariant and boundary - aware deep convolutional network ( SIBA - Net ) .
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 O O O O O O O O O O O O O B-short O O O O |
TR-1081 | [
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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: Partial Transmit Sequences ( PTS ) The PTS technique was originally introduced in , which consists in that the frequency - domain input data block is subdivided into disjoint carrier subblocks , which are represented by the vectors .
BIO tags: | B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O |
TR-1082 | [
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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: Being an essential building block in Industry 4.0 , IoT adoption rates are expected to grow at higher rates in the near future .
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 |
TR-1083 | [
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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: Intensive development of AI and its practical applications makes the problem of errors more important .
BIO tags: | O O O B-short O O O O O O O O O O O O |
TR-1084 | [
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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: Towards this end , we utilized bag of words ( BOW ) representation to vectorize our unstructured text data .
BIO tags: | O O O O O O B-long I-long I-long O B-short O O O O O O O O O |
TR-1085 | [
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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: Therefore , they are leveraged to facilitate the 2D/3D registration as we can observe the misalignment between the CT and patient by directly comparing the intra - intervention X - ray and the generated DRR ( See Figure and Section for details ) .
BIO tags: | O O O O O O O O B-short 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 B-short O O O O O O O O O |
TR-1086 | [
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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 graphs in the second column show the consistent superiority of the meta models using RF method as a relevator : for all the tasks , these methods achieve the lowest values of the objective function .
BIO tags: | O O O O O O O O O O O O O O O B-short O O O O O O O O O O O O O O O O O O O O O |
TR-1087 | [
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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: Via transmitting AN at transmitter or full - duplex receiver may achieve a high secrecy rate ( SR ) approaching to the spectral efficiency ( SE ) .
BIO tags: | O O B-short O O O O O O O O O O O B-long I-long O B-short O O O O B-long I-long O B-short O O |
TR-1088 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: However , the fact that this architecture is based on a Gated Recurrent Unit ( GRU ) framework combined with the excessive size of the documents in our corpus would severely affect the results .
BIO tags: | O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O O O O O O O O O O O O O O |
TR-1089 | [
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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 uncertainty is quantified as the Renyi entropy , from which we propose a general Renyi entropy regularization ( RER ) framework .
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 |
TR-1090 | [
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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: DM- Dice Metric in ; HD is Hausdorff distance in mm and is the result of Student tests with respect to .
BIO tags: | B-short B-long I-long O O B-short O B-long I-long O O O O O O O O O O O O O |
TR-1091 | [
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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 call this radial normalization ( RN ) classification .
BIO tags: | O O O B-long I-long O B-short O O O |
TR-1092 | [
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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: figure : confusion_matrix the True Positive Rate ( TPR ) confusion matrices for the Baseline ( left ) and our approach ( right ) .
BIO tags: | 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 |
TR-1093 | [
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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: Moreover , our method can also be employed to replace the time - consuming conditional random field ( CRF ) in many computer vision applications .
BIO tags: | O O O O O O O O O O O O O O B-long I-long I-long O B-short O O O O O O O |
TR-1094 | [
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Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: {{tokens|join(' ')}}
BIO tags:|||{% for label in labels %}{{["B-long", "B-short", "I-long", "I-short", "O"][label]}}{% if not loop.last %} {%endif %}{% endfor %} | Specification for BIO tags: "B-short" and "I-short" represent respectively the beginning and intermediate tokens for abbreviations (acronyms)."B-long" and "I-long" represent respectively the beginning and intermediate tokens for expansions of abbreviations (acronyms meaning). All other tokens are represented by "O".
Given the space-separated tokens below, write down for each token the corresponding BIO tag. Use a space to separate tags in the answer.
Tokens: The first part is a reweighted optimization , where is usually known as the loss function in a neural network as mean square error ( MSE ) and root mean square error ( RMSE ) .
BIO tags: | O O O O O O O O O O O O O O O O O O O O O B-long I-long I-long O B-short O O B-long I-long I-long I-long O B-short O O |
TR-1095 | [
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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: Simulation results showed that the proposed algorithms outperform the successive symbol - by - symbol sequence estimation ( SSSSE ) and successive symbol - by - symbol with go - back- sequence estimation ( SSSgbSE ) algorithms inbedeer2016very for all SE values .
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 |
TR-1096 | [
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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: Compression and intersection of integer lists using a graphics processing unit ( GPU ) has also received attention .
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 |
TR-1097 | [
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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: Tarjan and Yannikakis ' Maximum Cardinality Search ( MCS ) algorithm finds a usable clique tree in linear time , but is not guaranteed to be minimal .
BIO tags: | 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 |
TR-1098 | [
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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 this automatic conversion task , typically electromagnetic articulography ( EMA ) , ultrasound tongue imaging ( UTI ) , permanent magnetic articulography ( PMA ) , surface electromyography ( sEMG ) , Non - Audible Murmur ( NAM ) or video of the lip movements are used .
BIO tags: | 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 B-short O O O O O B-short O O O O O O O B-short O O O O O O O O O O |
TR-1099 | [
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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: Our quest hence becomes ( 1 ) whether to fully perform our baseband processing at the CC , the EC , or select an intermediate split point and ( 2 ) whether to place the content at the edge or central cloud given a user request with a delay threshold .
BIO tags: | O O O O O O O O O O O O O O O O B-short O O B-short O O O O O O O O O O O O O O O O O O O O B-long I-long O O O O O O O O O |