oai:www.ldc.upenn.edu:LDC2017T13
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OLAC Record oai:www.ldc.upenn.edu:LDC2017T13 |
| Metadata | ||
| Title: | 2015-2016 CoNLL Shared Task | |
| Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
| Bibliographic Citation: | Xue, Nianwen, et al. 2015-2016 CoNLL Shared Task LDC2017T13. Web Download. Philadelphia: Linguistic Data Consortium, 2017 | |
| Contributor: | Xue, Nianwen | |
| Ng, Hwee Tou | ||
| Pradhan, Sameer | ||
| Rutherford, Attapol T. | ||
| Webber, Bonnie | ||
| Wang, Chuan | ||
| Wang, Hong Min | ||
| Prasad, Rashmi | ||
| Date (W3CDTF): | 2017 | |
| Date Issued (W3CDTF): | 2017-09-14 | |
| Description: | *Introduction* 2015-2016 CoNLL Shared Task, LDC Catalog Number LDC2017T13 and ISBN 1-58563-812-9, contains the Chinese and English training, development and test data for the 2015 and 2016 CoNLL (Conference on Computational Natural Language Learning) Shared Task Evaluation which focused on shallow discourse parsing. The Conference on Computational Natural Language Learning (CoNLL) is accompanied every year by a shared task intended to promote natural language processing applications and evaluate them in a standard setting. Shallow discourse parsing is the task of parsing a piece of text into a set of discourse relations between two adjacent or non-adjacent discourse units. This task is called shallow discourse parsing because the relations in a text are not connected to one another to form a connected structure in the form of a tree or graph. LDC has also released the following CoNLL Shared Task data sets: * 2006 CoNLL Shared Task - Ten Languages (LDC2015T11) * 2006 CoNLL Shared Task - Arabic & Czech (LDC2015T12) * 2008 CoNLL Shared Task Data (LDC2009T12) * 2009 CoNLL Shared Task Part 1 (LDC2012T03) * 2009 CoNLL Shared Task Part 2 (LDC2012T04) *Data* This release consists of the tokenized, tagged, and parsed tags in English and Chinese. The English train, dev and test data are from Wall Street Journal material in Penn Discourse Treebank Version 2.0 (LDC2008T05); English blind test data are from wikinews. Chinese train, dev and test data are news material from Chinese Discourse Treebank 0.5 (LDC2014T21); Chinese blind test data are from wikinews. *Samples* Please view this source sample and annotation sample. *Updates* None at this time. | |
| Extent: | Corpus size: 532712 KB | |
| Identifier: | LDC2017T13 | |
| https://catalog.ldc.upenn.edu/LDC2017T13 | ||
| ISBN: 1-58563-812-9 | ||
| ISLRN: 228-559-981-287-1 | ||
| DOI: 10.35111/x63k-xv09 | ||
| Language: | English | |
| Chinese | ||
| Mandarin Chinese | ||
| Language (ISO639): | eng | |
| zho | ||
| 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/LDC2017T13 | |
| Rights Holder: | Portions © 1987-1989 Dow Jones & Company, Inc., © 1994-1998, 2006, Xinhua News Agency, © 2008, 2012 The Penn Discourse Treebank Group, © 2016 Attapol Rutherford, © 2001, 2004, 2005, 2007, 2008, 2009, 2010, 2012, 2013, 2014, 2017 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:LDC2017T13 | |
| DateStamp: | 2020-11-30 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Xue, Nianwen; Ng, Hwee Tou; Pradhan, Sameer; Rutherford, Attapol T.; Webber, Bonnie; Wang, Chuan; Wang, Hong Min; Prasad, Rashmi. 2017. Linguistic Data Consortium. | |
| Terms: | area_Asia area_Europe country_CN country_GB dcmi_Text iso639_cmn iso639_eng iso639_zho olac_primary_text | |