A fully-lexicalized probabilistic model for Japanese Zero anaphora resolution

Ryohei Sasano, Daisuke Kawahara, Sadao Kurohashi

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

14 Citations (Scopus)

Abstract

This paper presents a probabilistic model for Japanese zero anaphora resolution. First, this model recognizes discourse entities and links all mentions to them. Zero pronouns are then detected by case structure analysis based on automatically constructed case frames. Their appropriate antecedents are selected from the entities with high salience scores, based on the case frames and several preferences on the relation between a zero pronoun and an antecedent. Case structure and zero anaphora relation are simultaneously determined based on probabilistic evaluation metrics.

Original languageEnglish
Title of host publicationColing 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages769-776
Number of pages8
ISBN (Print)9781905593446
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event22nd International Conference on Computational Linguistics, Coling 2008 - Manchester, United Kingdom
Duration: 2008 Aug 182008 Aug 22

Publication series

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

Conference

Conference22nd International Conference on Computational Linguistics, Coling 2008
CountryUnited Kingdom
CityManchester
Period08/8/1808/8/22

ASJC Scopus subject areas

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

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    Sasano, R., Kawahara, D., & Kurohashi, S. (2008). A fully-lexicalized probabilistic model for Japanese Zero anaphora resolution. In Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference (pp. 769-776). (Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference; Vol. 1). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1599081.1599178