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Annotating the Little Prince with Chinese AMRs
Conference paper   Open access

Annotating the Little Prince with Chinese AMRs

Nianwen Xue, Bin Li, Yuan Wen, Lijun Bu and Weiguang Qu
10th Linguistic Annotation Workshop at ACL 2016 (The LAW X), 10 (Berlin, Germany, 08/11/2016 - 08/12/2016)
08/2016

Abstract

Abstract Meaning Representation Linguistic Annotation Chinese Language or Literature Computational Linguistics Translation
Abstract Meaning Representation (AMR) is an annotation framework in which the meaning of a full sentence is represented as a rooted, acyclic, directed graph. In this paper, we describe a pilot project in which we develop specifications for the annotation of a Chinese AMR corpus: the Chinese translation of the Little Prince. The interagreement smatch score between the two annotators is 0.83. We also propose to integrate alignment into Chinese AMR annotation.
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