A PDTB-styled end-to-end discourse parser

نویسندگان

  • Ziheng Lin
  • Hwee Tou Ng
  • Min-Yen Kan
چکیده

We have developed a full discourse parser in the Penn Discourse Treebank (PDTB) style. Our trained parser first identifies all discourse and non-discourse relations, locates and labels their arguments, and then classifies their relation types. When appropriate, the attribution spans to these relations are also determined. We present a comprehensive evaluation from both component-wise and error-cascading perspectives.

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عنوان ژورنال:
  • Natural Language Engineering

دوره 20  شماره 

صفحات  -

تاریخ انتشار 2014