Improving coreference resolution using bridging reference resolution and automatically acquired synonyms

Ryohei Sasano*, Daisuke Kawahara, Sadao Kurohashi

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

We present a knowledge-rich approach to Japanese coreference resolution. In Japanese, proper noun coreference and common noun coreference occupy a central position in coreference relations. To improve coreference resolution for such language, wide-coverage knowledge of synonyms is required. We first acquire knowledge of synonyms from large raw corpus and dictionary definition sentences, and resolve coreference relations based on the knowledge. Furthermore, to boost the performance of coreference resolution, we integrate bridging reference resolution system into coreference resolver.

Original languageEnglish
Title of host publicationAnaphora
Subtitle of host publicationAnalysis, Algorithms and Applications - 6th Discourse Anaphora and Anaphor Resolution Colloquium, DAARC 2007, Selected Papers
PublisherSpringer Verlag
Pages125-136
Number of pages12
ISBN (Print)9783540714118
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event6th Discourse Anaphora and Anaphor Resolution Colloquium, DAARC 2007 - Lagos, Portugal
Duration: 2007 Mar 292007 Mar 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4410 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th Discourse Anaphora and Anaphor Resolution Colloquium, DAARC 2007
Country/TerritoryPortugal
CityLagos
Period07/3/2907/3/30

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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