Chinese Discourse Treebank 0.5
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https://catalog.ldc.upenn.edu/LDC2014T21
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<h3>Introduction</h3><br>
<p>Chinese Discourse Treebank 0.5 was developed at Brandeis University as part of the <a href="http://www.cs.brandeis.edu/~clp/ctb/">Chinese Treebank Project </a>and consists of approximately 73,000 words of Chinese newswire text annotated for discourse relations. It follows the lexically grounded approach of the Penn Discourse Treebank (PDTB) (<a href="../../../LDC2008T05">LDC2008T05</a>) with adaptations based on the linguistic and statistical characteristics of Chinese text. Discourse relations are lexically anchored by discourse connectives (e.g., because, but, therefore), which are viewed as predicates that take abstract objects such as propositions, events and states as their arguments. Along with PDTB-style schemes for English, Turkish, Hindi and Czech, Chinese Discourse Treebank provides an additional perspective on how the PDTB approach can be extended for cross-lingual annotation of discourse relations.</p><br>
<h3>Data</h3><br>
<p>Data was selected from the newswire material in Chinese Treebank 8.0 (<a href="../../../LDC2013T21">LDC2013T21</a>), specifically, from Xinhua News Agency stories. There are approximately 5,500 annotation instances. Following the PDTB format, each annotation instance consists of 27 vertical bar delimited fields. The fields specify the attributes of the discourse relation as a whole, as well as the attributes of its two arguments. Not all fields are filled in this release. Filled fields are indicated by a pair of angle brackets; the remaining fields are place holders for future releases.</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2014T21.ann.jpg">annotation sample</a> and <a href="desc/addenda/LDC2014T21.raw.jpg">raw sample</a>.</p><br>
<h3>Updates</h3><br>
<p>None at this time.</p></br>
Portions © 1994-1998, 2006 Xinhua News Agency, © 2001, 2004, 2005, 2007, 2009, 2010, 2013, 2014 Trustees of the University of Pennsylvania
提供机构:
Linguistic Data Consortium
创建时间:
2020-11-30



