five

2015-2016 CoNLL Shared Task

收藏
DataCite Commons2021-07-01 更新2025-04-16 收录
下载链接:
https://catalog.ldc.upenn.edu/LDC2017T13
下载链接
链接失效反馈
官方服务:
资源简介:
<h3>Introduction</h3><br> <p>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 <a href="http://cs.brandeis.edu/~clp/conll15st">2015</a> and <a href="http://www.cs.brandeis.edu/~clp/conll16st/">2016</a> CoNLL (Conference on Computational Natural Language Learning) Shared Task Evaluation which focused on shallow discourse parsing.</p><br> <p>The <a href="http://www.conll.org/">Conference on Computational Natural Language Learning (CoNLL)</a> 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.</p><br> <p>LDC has also released the following CoNLL Shared Task data sets:</p><br> <ul><br> <li>2006 CoNLL Shared Task - Ten Languages (<a href="../../../LDC2015T11">LDC2015T11</a>)</li><br> <li>2006 CoNLL Shared Task - Arabic &amp; Czech (<a href="../../../LDC2015T12">LDC2015T12</a>)</li><br> <li>2008 CoNLL Shared Task Data (<a href="../../../LDC2009T12">LDC2009T12</a>)</li><br> <li>2009 CoNLL Shared Task Part 1 (<a href="../../../LDC2012T03">LDC2012T03</a>)</li><br> <li>2009 CoNLL Shared Task Part 2 (<a href="../../../LDC2012T04">LDC2012T04</a>)</li><br> </ul><br> <h3>Data</h3><br> <p>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 (<a href="../../../LDC2008T05">LDC2008T05</a>); English blind test data are from wikinews. Chinese train, dev and test data are news material from Chinese Discourse Treebank 0.5 (<a href="../../../LDC2014T21">LDC2014T21</a>); Chinese blind test data are from wikinews.</p><br> <h3>Samples</h3><br> <p>Please view this&nbsp;<a href="desc/addenda/LDC2017T13.src.txt">source sample</a> and <a href="desc/addenda/LDC2017T13.anno.txt">annotation sample</a>.</p><br> <h3>Updates</h3><br> <p>None at this time.</p></br> 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
提供机构:
Linguistic Data Consortium
创建时间:
2020-11-30
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作