Combining intra- and multi-sentential rhetorical parsing for document-level discourse analysis

Shafiq Rayhan Joty, Giuseppe Carenini, Raymond Ng, Yashar Mehdad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

74 Citations (Scopus)

Abstract

We propose a novel approach for developing a two-stage document-level discourse parser. Our parser builds a discourse tree by applying an optimal parsing algorithm to probabilities inferred from two Conditional Random Fields: one for intrasentential parsing and the other for multisentential parsing. We present two approaches to combine these two stages of discourse parsing effectively. A set of empirical evaluations over two different datasets demonstrates that our discourse parser significantly outperforms the stateof-the-art, often by a wide margin..

Original languageEnglish
Title of host publicationACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages486-496
Number of pages11
Volume1
ISBN (Print)9781937284503
Publication statusPublished - 1 Jan 2013
Event51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 - Sofia, Bulgaria
Duration: 4 Aug 20139 Aug 2013

Other

Other51st Annual Meeting of the Association for Computational Linguistics, ACL 2013
CountryBulgaria
CitySofia
Period4/8/139/8/13

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ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

Cite this

Rayhan Joty, S., Carenini, G., Ng, R., & Mehdad, Y. (2013). Combining intra- and multi-sentential rhetorical parsing for document-level discourse analysis. In ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Vol. 1, pp. 486-496). Association for Computational Linguistics (ACL).