oai:www.ldc.upenn.edu:LDC2016T26
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OLAC Record oai:www.ldc.upenn.edu:LDC2016T26 |
| Metadata | ||
| Title: | TAC KBP Spanish Cross-lingual Entity Linking - Comprehensive Training and Evaluation Data 2012-2014 | |
| 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 Spanish Cross-lingual Entity Linking - Comprehensive Training and Evaluation Data 2012-2014 LDC2016T26. Web Download. Philadelphia: Linguistic Data Consortium, 2016 | |
| Contributor: | Ellis, Joe | |
| Getman, Jeremy | ||
| Strassel, Stephanie | ||
| Date (W3CDTF): | 2016 | |
| Date Issued (W3CDTF): | 2016-12-15 | |
| Description: | *Introduction* TAC KBP Spanish Cross-Lingual Entity Linking - Comprehensive Training and Evaluation Data 2012-2014 was developed by the Linguistic Data Consortium (LDC) and contains training and evaluation data produced in support of the TAC KBP Spanish Cross-lingual Entity Linking tasks in 2012, 2013 and 2014. It includes queries and gold standard entity type information, Knowledge Base links, and equivalence class clusters for NIL entities along with the source documents for the queries, specifically, English and Spanish newswire, discussion forum and web data. The corresponding knowledge base is available as TAC KBP Reference Knowledge Base (LDC2014T16). 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. Spanish cross-lingual entity linking was first conducted as part of the 2012 TAC KBP evaluations. The track was an extension of the monolingual English Entity Linking track (EL) whose goal was to measure systems' ability to determine whether an entity, specified by a query, had a matching node in a reference knowledge base (KB) and, if so, to create a link between the two. If there was no matching node for a query entity in the KB, EL systems were required to cluster the mention together with others referencing the same entity. More information about the TAC KBP Entity Linking task and other TAC KBP evaluations can be found on the NIST TAC website. *Data* All source documents were originally released as XML but have been converted to text files for this release. This change was made primarily because the documents were used as text files during data development but also because some fail XML parsing. *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 the following samples: * Source Sample * Query Sample * Query Response Sample *Updates* None at this time. | |
| Extent: | Corpus size: 94488 KB | |
| Identifier: | LDC2016T26 | |
| https://catalog.ldc.upenn.edu/LDC2016T26 | ||
| ISBN: 1-58563-780-7 | ||
| ISLRN: 546-386-811-027-3 | ||
| DOI: 10.35111/gn9a-gb23 | ||
| Language: | Spanish | |
| English | ||
| Language (ISO639): | spa | |
| 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/LDC2016T26 | |
| Rights Holder: | Portions © 2006-2010 Agence France Presse, © 2007, 2008, 2010 Central News Agency (Taiwan), © 2007-2009 Los Angeles Times-Washington Post News Service, Inc., © 1997, 2005, 2007-2010 New York Times, © 2009-2010 The Associated Press, © 2010 The Washington Post News Service with Bloomberg News, © 1996, 2007-2010 Xinhuan News Agency, © 2003, 2005, 2007, 2009, 2011, 2016 Trustees of the University of Pennsylvania | |
| Type (DCMI): | Text | |
| Type (OLAC): | primary_text | |
OLAC Info |
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| 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 |
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| OaiIdentifier: | oai:www.ldc.upenn.edu:LDC2016T26 | |
| DateStamp: | 2020-11-30 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Ellis, Joe; Getman, Jeremy; Strassel, Stephanie. 2016. Linguistic Data Consortium. | |
| Terms: | area_Europe country_ES country_GB dcmi_Text iso639_eng iso639_spa olac_primary_text | |