OLAC Record
oai:www.ldc.upenn.edu:LDC2014T16

Metadata
Title:TAC KBP Reference Knowledge Base
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Simpson, Heather, et al. TAC KBP Reference Knowledge Base LDC2014T16. Web Download. Philadelphia: Linguistic Data Consortium, 2014
Contributor:Simpson, Heather
Ellis, Joe
Parker, Robert
Strassel, Stephanie
Date (W3CDTF):2014
Date Issued (W3CDTF):2014-08-15
Description:*Introduction* TAC KBP Reference Knowledge Base was developed by the Linguistic Data Consortium (LDC) in support of the NIST-sponsored TAC-KBP evaluation series. It is a knowledge base built from English Wikipedia articles and their associated infoboxes and covers over 800,000 entities. LDC also released TAC KBP Spanish Cross-lingual Entity Linking - Comprehensive Training and Evaluation Data 2012-2014 (LDC2016T26.) TAC (Text Analysis Conference) is a series of workshops organized by NIST (the National Institute of Standards and Technology) 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. TAC's KBP track (Knowledge Base Population) 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. Consult the LDC TAC-KBP project page for further information about LDC's resource development for the TAC-KBP program. *Data* The source data (Wikipedia infoboxes and articles) was taken from an October 2008 snapshot of Wikipedia. TAC KBP Reference Knowledge Base contains a set of entities, each with a canonical name and title for the Wikipedia page, an entity type, an automatically parsed version of the data from the infobox in the entity's Wikipedia article, and a stripped version of the text of the Wiki article. Each entity is assigned one of four types: PER (person), ORG (organization), GPE (geo-political entity) and UKN (unknown). All data files are presented as UTF-8 encoded XML. *Samples* Please view the following sample. *Updates* None at this time.
Extent:Corpus size: 2597264 KB
Identifier:LDC2014T16
https://catalog.ldc.upenn.edu/LDC2014T16
ISBN: 1-58563-685-1
ISLRN: 043-495-621-872-3
DOI: 10.35111/4yac-wb16
Language:English
Language (ISO639):eng
License:LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Medium:Distribution: Web Download
Publisher:Linguistic Data Consortium
Publisher (URI):https://www.ldc.upenn.edu
Relation (URI):https://catalog.ldc.upenn.edu/docs/LDC2014T16
Rights Holder:Portions © 2008-2009, 2014 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:LDC2014T16
DateStamp:  2020-11-30
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Simpson, Heather; Ellis, Joe; Parker, Robert; Strassel, Stephanie. 2014. Linguistic Data Consortium.
Terms: area_Europe country_GB dcmi_Text iso639_eng olac_primary_text


http://www.language-archives.org/item.php/oai:www.ldc.upenn.edu:LDC2014T16
Up-to-date as of: Fri Dec 6 7:48:18 EST 2024