Recognizing Implicit Discourse Relations in the Penn Discourse Treebank

We present an implicit discourse relation classifier in the Penn Discourse Treebank (PDTB). Our classifier considers the context of the two arguments, word pair information, as well as the arguments' internal constituent and dependency parses. Our results on the PDTB yields a significant 14.1% improvement over the baseline. In our error analysis, we discuss four challenges in recognizing implicit relations in the PDTB.

• Publication year

  2009

• Venue

  Conference on Empirical Methods in Natural Language Processing

• Publication date

  2009-08-06

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/1699510.1699555
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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