Chinese Abstract Meaning Representation 1.0

<h3>Introduction</h3><br>
<p>Chinese Abstract Meaning Representation was developed by <a href="https://www.brandeis.edu/">Brandeis University</a> and <a href="http://en.njnu.edu.cn/">Nanjing Normal University</a> and is comprised of semantic representations of a set of Chinese sentences from Chinese Treebank 8.0 (<a href="../../../LDC2013T21">LDC2013T21</a>).</p><br>
<p>Abstract Meaning Representation (AMR) captures "who is doing what to whom" in a sentence. Each sentence is paired with a graph that represents its whole-sentence meaning in a tree structure. LDC has released the following AMR English data sets: Abstract Meaning Representation (AMR) Annotation Release 1.0 (<a href="../../../LDC2014T12">LDC2014T12</a>) and Abstract Meaning Representation (AMR) Annotation Release 2.0 (<a href="../../../LDC2017T10">LDC2017T10</a>).</p><br>
<p>Chinese AMR is based on the annotation methodology developed for English with adaptations for handling specific Chinese phenomena. The goal of the Chinese AMR project is to create a large aligned AMR corpus, of which this data set is the first release. For more information about the project, see the <a href="http://www.cs.brandeis.edu/~clp/camr/camr.html">Chinese AMR homepage</a>.</p><br>
<h3>Data</h3><br>
<p>The text is extracted from the 10,325 sentences of the weblog and discussion forum portions of Chinese Treebank 8.0. Annotations were applied to 10,149 sentences, with 176 sentences unannotated.</p><br>
<p>The data is divided into training, development and test sets. These three files are presented as plain text in UTF-8 encoding.</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2019T07.txt">sample</a>.</p><br>
<h3>Updates</h3><br>
<p>None at this time.</p></br>
Portions © 2019 Bin Li, © 2001, 2004, 2005, 2007, 2009, 2010, 2013, 2019 Trustees of the University of Pennsylvania