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TAC KBP English Surprise Slot Filling -- Comprehensive Training and Evaluation Data 2010
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TAC KBP English Sentiment Slot Filling -- Comprehensive Training and Evaluation Data 2013-2014
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TAC KBP English Sentiment Slot Filling -- Comprehensive Training and Evaluation Data 2013-2014 ...
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TAC KBP English Surprise Slot Filling -- Comprehensive Training and Evaluation Data 2010 ...
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TAC KBP English Event Nugget Detection and Coreference - Comprehensive Training and Evaluation Data 2014-2015
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TAC KBP English Temporal Slot Filling - Comprehensive Training and Evaluation Data 2011 and 2013
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TAC KBP English Event Argument - Training and Evaluation Data 2014-2015
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TAC KBP Event Argument - Comprehensive Training and Evaluation Data 2016-2017
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TAC KBP English Temporal Slot Filling - Comprehensive Training and Evaluation Data 2011 and 2013 ...
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TAC KBP Event Argument - Comprehensive Training and Evaluation Data 2016-2017 ...
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TAC KBP English Event Argument - Training and Evaluation Data 2014-2015 ...
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TAC KBP English Event Nugget Detection and Coreference - Comprehensive Training and Evaluation Data 2014-2015 ...
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TAC KBP Chinese Regular Slot Filling - Comprehensive Training and Evaluation Data 2014
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TAC KBP Cold Start - Comprehensive Evaluation Data 2012-2017
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TAC KBP Entity Discovery and Linking - Comprehensive Evaluation Data 2016-2017
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TAC KBP Entity Discovery and Linking - Comprehensive Training and Evaluation Data 2014-2015
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TAC KBP Chinese Regular Slot Filling - Comprehensive Training and Evaluation Data 2014 ...
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TAC KBP Entity Discovery and Linking - Comprehensive Evaluation Data 2016-2017 ...
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TAC KBP Evaluation Source Corpora 2016-2017 ...
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Abstract:
Introduction TAC KBP Evaluation Source Corpora 2016-2017 was developed by the Linguistic Data Consortium (LDC) and contains the 180,003 Chinese, English and Spanish source documents used in support of all TAC KBP evaluation tracks conducted in 2016 and 2017. Text Analysis Conference (TAC) is a series of workshops organized by the National Institute of Standards and Technology (NIST). TAC was developed to encourage research in natural language processing and related applications by providing a large test collection, common evaluation procedures, and a forum for researchers to share their results. Through its various evaluations, the Knowledge Base Population (KBP) track of TAC encourages the development of systems that can match entities mentioned in natural texts ...
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URL: https://catalog.ldc.upenn.edu/LDC2019T12 https://dx.doi.org/10.35111/bwg4-0h19
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