OLAC Record
oai:www.ldc.upenn.edu:LDC2024T09

Metadata
Title:MultiTACRED
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Hennig, Leonhard, Philippe Thomas, and Sebastian Möller. MultiTACRED LDC2024T09. Web Download. Philadelphia: Linguistic Data Consortium, 2024
Contributor:Hennig, Leonhard
Thomas, Philippe
Möller, Sebastian
Date (W3CDTF):2024
Date Issued (W3CDTF):2024-10-15
Description:*Introduction* MultiTACRED was developed by the German Research Center for Artificial Intelligence (DFKI) Speech and Language Technology Lab and is a machine translation of TAC Relation Extraction Dataset (LDC2018T24) (TACRED) into twelve languages with projected entity annotations. TACRED is a large-scale relation extraction dataset containing 106,264 examples built over English newswire and web text used in the NIST TAC KBP English slot filling evaluations during the period 2009-2014. The training and evaluation data for the TAC KBP slot filling tasks was developed by the Linguistic Data Consortium. *Data* TACRED training, development and test splits were translated into Arabic, Chinese, Finnish, French, German, Hindi, Hungarian, Japanese, Polish, Russian, Spanish, and Turkish using DeepL or Google Translate. The test split was back-translated into English to generate machine-translated English test data. TACRED annotations are specified by token offsets. For translation, tokens were concatenated with white space, and the entity offsets were converted into XML-style markers to denote argument. Data is presented in JSON format encoded in UTF-8. *Samples* Please view the following samples: * Spanish Sample * Chinese Sample *Updates* None at this time.
Extent:Corpus size: 384980 KB
Identifier:LDC2024T09
https://catalog.ldc.upenn.edu/LDC2024T09
ISLRN: 754-937-284-790-9
DOI: 10.35111/hcnt-7g66
Language:English
Arabic
German
Spanish
Finnish
French
Hindi
Hungarian
Japanese
Polish
Russian
Turkish
Mandarin Chinese
Language (ISO639):eng
ara
deu
spa
fin
fra
hin
hun
jpn
pol
rus
tur
cmn
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/LDC2024T09
Rights Holder:Portions © 1994-1997, 2001-2010 Agence France Presse, © 2005 Aljazeera, © 1996-1997 American Broadcasting Corporation, © 1994-2010 The Associated Press, © 1994-1997 Cable News Network, LP, LLLP, © 1997-1999, 2001, 2003-2010 Central News Agency (Taiwan), © 2005 Dubai TV, © 2005-2006 National Broadcasting Company, Inc., © 1996-1997 National Cable Satellite Corporation, © 1994-1998, 2003-2009 Los Angeles Times - Washington Post News Service, Inc., © 1994-2010 New York Times, © 1996-1997 Public Radio International, © 1994-1995 Reuters America, Inc., © 1996 The University of California, USC Radio and Marketplace, © 2010 The Washington Post Service with Bloomberg News, © 1995-2010 Xinhua News Agency, © 2024 Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, © 2018 The Board of Trustees of the Leland Stanford Junior University, © 1996-1998, 2007, 2008, 2009, 2011, 2014, 2018, 2024 Trustees of the University of Pennsylvania
Type (DCMI):Text
Type (OLAC):primary_text

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Archive:  The LDC Corpus Catalog
Description:  http://www.language-archives.org/archive/www.ldc.upenn.edu
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OAI Info

OaiIdentifier:  oai:www.ldc.upenn.edu:LDC2024T09
DateStamp:  2024-10-15
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Search Info

Citation: Hennig, Leonhard; Thomas, Philippe; Möller, Sebastian. 2024. Linguistic Data Consortium.
Terms: area_Asia area_Europe country_CN country_DE country_ES country_FI country_FR country_GB country_HU country_IN country_JP country_PL country_RU country_TR dcmi_Text iso639_ara iso639_cmn iso639_deu iso639_eng iso639_fin iso639_fra iso639_hin iso639_hun iso639_jpn iso639_pol iso639_rus iso639_spa iso639_tur olac_primary_text


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Up-to-date as of: Thu Oct 24 7:31:30 EDT 2024