Using semantic relations to refine coreference decisions

Heng Ji, David Westbrook, Ralph Grishman

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

Abstract

We present a novel mechanism for improving reference resolution by using the output of a relation tagger to rescore coreference hypotheses. Experiments show that this new framework can improve performance on two quite different languages - English and Chinese.

Original languageEnglish (US)
Title of host publicationHLT/EMNLP 2005 - Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
Pages17-24
Number of pages8
StatePublished - 2005
EventHuman Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT - Vancouver, BC, Canada
Duration: Oct 6 2005Oct 8 2005

Other

OtherHuman Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT
CountryCanada
CityVancouver, BC
Period10/6/0510/8/05

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems

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    Ji, H., Westbrook, D., & Grishman, R. (2005). Using semantic relations to refine coreference decisions. In HLT/EMNLP 2005 - Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (pp. 17-24)