Coordination disambiguation without any similarities

Daisuke Kawahara, Sadao Kurohashi

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

8 Citations (Scopus)

Abstract

The use of similarities has been one of the main approaches to resolve the ambiguities of coordinate structures. In this paper, we present an alternative method for coordination disambiguation, which does not use similarities. Our hypothesis is that coordinate structures are supported by surrounding dependency relations, and that such dependency relations rather yield similarity between conjuncts, which humans feel. Based on this hypothesis, we built a Japanese fully-lexicalized generative parser that includes coordination disambiguation. Experimental results on web sentences indicated the effectiveness of our approach, and endorsed our hypothesis.

Original languageEnglish
Title of host publicationColing 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages425-432
Number of pages8
ISBN (Print)9781905593446
DOIs
Publication statusPublished - Jan 1 2008
Event22nd International Conference on Computational Linguistics, Coling 2008 - Manchester, United Kingdom
Duration: Aug 18 2008Aug 22 2008

Publication series

NameColing 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference
Volume1

Other

Other22nd International Conference on Computational Linguistics, Coling 2008
CountryUnited Kingdom
CityManchester
Period8/18/088/22/08

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All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Computational Theory and Mathematics
  • Linguistics and Language

Cite this

Kawahara, D., & Kurohashi, S. (2008). Coordination disambiguation without any similarities. In Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference (pp. 425-432). (Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference; Vol. 1). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1599081.1599135