Informed Parsing for Coordination with Combinatory Categorial Grammar

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dc.contributor.authorPark, Jong Cheolko
dc.contributor.authorCho, Hyung Joonko
dc.date.accessioned2013-03-16T22:12:09Z-
dc.date.available2013-03-16T22:12:09Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2000-07-01-
dc.identifier.citationInternational Conference on Computational Linguistics (COLING), pp.593 - 599-
dc.identifier.urihttp://hdl.handle.net/10203/136447-
dc.description.abstractCoordination in natural language hampers efficient parsing, especially due to the multiple and mostly unintended candidate conjuncts/disjuncts in a given sentence that shows structural ambiguity. The problem gets more serious in a combinatory categorial grammar framework, which is well known for its competent treatment of coordination, as the flexibility of syntactic analysis often strikes back as spurious ambiguity. We propose to address these ambiguities with predicate argument structures and semantic co-occurrence similarity information, and present encouraging results.-
dc.languageEnglish-
dc.publisherInternational Conference on Computational Linguistics (COLING)-
dc.titleInformed Parsing for Coordination with Combinatory Categorial Grammar-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.beginningpage593-
dc.citation.endingpage599-
dc.citation.publicationnameInternational Conference on Computational Linguistics (COLING)-
dc.identifier.conferencecountryGE-
dc.identifier.conferencelocationSaarbrucken-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorPark, Jong Cheol-
dc.contributor.nonIdAuthorCho, Hyung Joon-
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CS-Conference Papers(학술회의논문)
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