OLAC Record
oai:www.ldc.upenn.edu:LDC2016T10

Metadata
Title:SDP 2014 & 2015: Broad Coverage Semantic Dependency Parsing
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Flickinger, Dan, et al. SDP 2014 & 2015: Broad Coverage Semantic Dependency Parsing LDC2016T10. Web Download. Philadelphia: Linguistic Data Consortium, 2016
Contributor:Flickinger, Dan
Hajič, Jan
Ivanova, Angelina
Kuhlmann, Marco
Miyao, Yusuke
Oepen, Stephan
Zeman, Daniel
Date (W3CDTF):2016
Description:*Introduction* SDP 2014 & 2015: Broad Coverage Semantic Dependency Parsing consists of data, tools, system results, and publications associated with the 2014 and 2015 tasks on Broad-Coverage Semantic Dependency Parsing (SDP) conducted in conjunction with the International Workshop on Semantic Evaluation (SemEval) and was developed by the SDP task organizers. SemEval is an ongoing series of evaluations of computational semantic analysis systems intended to explore the nature of meaning in language. It evolved from the Senseval word sense disambiguation series to include semantic analysis tasks outside of word sense disambiguation. *Data* SDP 2014 & 2015: Broad Coverage Semantic Dependency Parsing is based on English, Chinese and Czech data from the following resources: Treebank-2 LDC95T17, Proposition Bank I LDC2004T14, NomBank v 1.0 LDC2008T23 and CCGBank LDC2005T13 (English); Chinese Treebank (e.g., Chinese Treebank 8.0 LDC2013T21) (Chinese); and Prague Dependency Treebank (e.g., Prague Dependency Treebank 2.0, LDC2006T01) (Czech). The results are presented as graphs in three target representations: MRS-Derived Semantic Dependencies (DM), Enju Predicate–Argument Structures (PAS), and Prague Semantic Dependencies (PSD). As a fourth, additional target representation CCGbank was converted to semantic dependency graphs (in the subdirectory ‘ccd’). These graphs are aligned with the graphs released in connection with SDP 2015 for English. The data is divided into three main directories: * ‘2014/’ — the data, tools, and system results from Task 8 at SemEval 2014 * ‘2015/’ — the data, tools, and system results from Task 18 at SemEval 2015 * ‘ccd/’ — the new set of semantic dependency graphs derived from CCGbank In the 2014 and 2015 sub-directories, the file layout preserves the original conventions used for data distribution to SemEval participants, so as to make it easy to replicate published results. Each sub-directory (including the new ‘ccd/’) provides its own file ‘README.txt’ with additional instructions. *Samples* Please view these samples: * 2014 Training Data * 2015 Graph * CCD Training Data *Updates* None at this time.
Extent:Corpus size: 2813800 KB
Identifier:LDC2016T10
https://catalog.ldc.upenn.edu/LDC2016T10
ISBN: 1-58563-753-X
ISLRN: 551-020-529-029-5
Language:English
Chinese
Czech
Language (ISO639):eng
zho
ces
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/LDC2016T10
Rights Holder:Portions © 1987-1989 Dow Jones & Company, Inc., © 1996-2005 Institute of Formal and Applied Linguistics and Center for Computational Linguistics, Faculty of Mathematics and Physics, Charles University, © 2005 Julia Hockenmaier and Mark Steedman, © 1995, 1999, 2004, 2005, 2006, 2008, 2013, 2016 Trustees of the University of Pennsylvania
Type (DCMI):Text
Type (OLAC):primary_text

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DateStamp:  2019-01-03
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Citation: Flickinger, Dan; Hajič, Jan; Ivanova, Angelina; Kuhlmann, Marco; Miyao, Yusuke; Oepen, Stephan; Zeman, Daniel. 2016. Linguistic Data Consortium.
Terms: area_Europe country_CZ country_GB dcmi_Text iso639_ces iso639_eng iso639_zho olac_primary_text


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