OLAC Record
oai:www.ldc.upenn.edu:LDC2019T12

Metadata
Title:TAC KBP Evaluation Source Corpora 2016-2017
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Ellis, Joe, Jeremy Getman, and Stephanie Strassel. TAC KBP Evaluation Source Corpora 2016-2017 LDC2019T12. Web Download. Philadelphia: Linguistic Data Consortium, 2019
Contributor:Ellis, Joe
Getman, Jeremy
Strassel, Stephanie
Date (W3CDTF):2019
Date Issued (W3CDTF):2019-08-15
Description:*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 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. *Data* The source data consists of Chinese, English and Spanish discussion forum and newswire text collected by LDC. Documents are released as UTF-8 encoded XML with corresponding DTDs. Also provided are a series of lists and tables to aid in the recreation of specific test sets. See the included documentation for more information. *Acknowledgement* 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. *Samples* Please view this sample. *Updates* None at this time.
Extent:Corpus size: 1506232 KB
Identifier:LDC2019T12
https://catalog.ldc.upenn.edu/LDC2019T12
ISBN: 1-58563-898-6
ISLRN: 221-511-301-129-0
Language:English
Mandarin Chinese
Spanish
Language (ISO639):eng
cmn
spa
License:LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/LDC%20User%20Agreement%20for%20Non-Members.pdf
Medium:Distribution: Web Download
Publisher:Linguistic Data Consortium
Publisher (URI):https://www.ldc.upenn.edu
Relation (URI):https://catalog.ldc.upenn.edu/docs/LDC2019T12
Rights Holder:Portions © 2013 New York Times, © 2013 Xinhua News Agency, © 2013, 2018, 2019 Trustees of the University of Pennsylvania
Type (DCMI):Text
Type (OLAC):primary_text

OLAC Info

Archive:  The LDC Corpus Catalog
Description:  http://www.language-archives.org/archive/www.ldc.upenn.edu
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:www.ldc.upenn.edu:LDC2019T12
DateStamp:  2020-01-06
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Ellis, Joe; Getman, Jeremy; Strassel, Stephanie. 2019. Linguistic Data Consortium.
Terms: area_Asia area_Europe country_CN country_ES country_GB dcmi_Text iso639_cmn iso639_eng iso639_spa olac_primary_text


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Up-to-date as of: Sat Jan 18 13:58:44 EST 2020