TAC KBP Cold Start - Comprehensive Evaluation Data 2012-2017

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Ellis, Joe; Getman, Jeremy; Strassel, Stephanie, 2019, "TAC KBP Cold Start - Comprehensive Evaluation Data 2012-2017", https://hdl.handle.net/11272.1/AB2/KQWRTL, Abacus Data Network, V1

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Description	TAC KBP Cold Start - Comprehensive Evaluation Data 2012-2017 was developed by the Linguistic Data Consortium (LDC) and contains Chinese, English and Spanish data produced in support of the TAC KBP Cold Start evaluation track conducted from 2012 to 2017. This includes source documents, queries, assessments, manual runs and final assessments. 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 with those appearing in a knowledge base and extract novel information about entities from a document collection and add it to a new or existing knowledge base. In the Cold Start track, systems were evaluated on their ability to construct a new knowledge base (KB) from information provided in a text collection in combination with technologies developed in other TAC KBP tracks – slot filling, information extraction, question answering and entity discovery & linking. Specifically, Cold Start systems were required to find all entities in the text, and the KB must have ideally included every person, organization, and geo-political entity as well as all of the targeted relations between them. To facilitate the evaluation of those KBs, LDC annotators created sets of queries, human-generated responses to the queries, and assessments of both human and system responses. More information about Cold Start and other TAC KBP evaluations can be found on the NIST TAC website. Data The source data in this release is comprised of English and Spanish newswire and web text collected by LDC that was used in the 2012, 2014 and 2015 evaluations and in the 2016 pilot collection. The source collections for the 2016 and 2017 evaluations, which also includes Chinese data, are available in TAC KBP Evaluation Source Corpora 2016-2017 (LDC2019T12). The archived 2013 Cold Start source data collection is available from NIST upon request. Queries are presented in XML, while all other documents are plain text. All text data is encoded as UTF-8. Tools provided by the evaluation track coordinators are also included.
Subject	Other
Keyword	Linguistics

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Dataset Persistent ID	hdl:11272.1/AB2/KQWRTL
Publication Date	2019-11-15
Citation Date
Title	TAC KBP Cold Start - Comprehensive Evaluation Data 2012-2017
Other ID	Linguistic Data Consortium: LDC2019T17 ISBN: 1-58563-908-7 ISLRN: 535-918-219-858-1
Author	Ellis, Joe Getman, Jeremy Strassel, Stephanie
Contact	Use email button above to contact. Abacus support
Description	TAC KBP Cold Start - Comprehensive Evaluation Data 2012-2017 was developed by the Linguistic Data Consortium (LDC) and contains Chinese, English and Spanish data produced in support of the TAC KBP Cold Start evaluation track conducted from 2012 to 2017. This includes source documents, queries, assessments, manual runs and final assessments. 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 with those appearing in a knowledge base and extract novel information about entities from a document collection and add it to a new or existing knowledge base. In the Cold Start track, systems were evaluated on their ability to construct a new knowledge base (KB) from information provided in a text collection in combination with technologies developed in other TAC KBP tracks – slot filling, information extraction, question answering and entity discovery & linking. Specifically, Cold Start systems were required to find all entities in the text, and the KB must have ideally included every person, organization, and geo-political entity as well as all of the targeted relations between them. To facilitate the evaluation of those KBs, LDC annotators created sets of queries, human-generated responses to the queries, and assessments of both human and system responses. More information about Cold Start and other TAC KBP evaluations can be found on the NIST TAC website. Data The source data in this release is comprised of English and Spanish newswire and web text collected by LDC that was used in the 2012, 2014 and 2015 evaluations and in the 2016 pilot collection. The source collections for the 2016 and 2017 evaluations, which also includes Chinese data, are available in TAC KBP Evaluation Source Corpora 2016-2017 (LDC2019T12). The archived 2013 Cold Start source data collection is available from NIST upon request. Queries are presented in XML, while all other documents are plain text. All text data is encoded as UTF-8. Tools provided by the evaluation track coordinators are also included.
Subject	Other
Keyword	Linguistics (ACV)
Producer	Linguistic Data Consortium (University of Pennsylvania) (LDC) https://www.ldc.upenn.edu/
Production Date	2019-11-15
Production Place	Philadelphia
Grant Information	Air Force Research Laboratory and Defense Advance Research Projects Agency: Air Force Research Laboratory and Defense Advance Research Projects Agency: FA8750-13-2-0045
Distributor	Linguistic Data Consortium (University of Pennsylvania) (LDC) https://www.ldc.upenn.edu/
Deposit Date	2019-12-06
Time Period Covered	Start: 2012 ; End: 2017
Date of Collection	Start: 2012 ; End: 2017
Kind of Data	Linguistic data
Series	LDC: Linguistic Data Consortium
Data Sources	Newswire, web collection, discussion forum

Geospatial Metadata

Geographic Coverage	China France Taiwan, Province of China United States

Social Science and Humanities Metadata

Study Level Error Notes

DCMI type: TextApplication: Entity extraction, relation extraction, event detection, sentiment detection, knowledge base populationLanguage: Mandarin Chinese, English, SpanishLanguage ID: cmn, eng, spaProject: TACMisc: This material is based on research sponsored by Air Force Research Laboratory and Defense Advance Research Projects Agency under agreement number FA8750-13-2-0045. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of Air Force Research Laboratory and Defense Advanced Research Projects Agency or the U.S. Government. Previous handle https://hdl.handle.net/11272/W17EQ has been deprecated

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