A Novel Japanese Anaphora Resolution Method Using Deep Cases

Takumi Kawasaki, Masaomi Kimura

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

1 Citation (Scopus)

Abstract

Anaphora resolution resolves a reference of a pronoun to a noun in a phrase. It is an active area of research, especially in text mining, because any result can be missed due to a mean of sentences including abbreviations or pronouns. An existing system, called zero anaphora analysis, cannot guarantee accurate results of detecting and complementing abbreviated pronouns as for Japanese sentence. Previous studies of anaphora resolution used surface case, which represents the semantic relationships between verbs and nouns. However, they analyzed only at the surface information of the emerging particle; therefore, it is difficult to obtain an appropriate result. Obviously, not only the analysis of superficial sentences but also the deep case should be used to address the problem. In this paper, we propose a new anaphora resolution method by using deep case.

Original languageEnglish
Title of host publicationProceedings - 2017 International Symposium on Computer Science and Intelligent Controls, ISCSIC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages129-134
Number of pages6
Volume2018-February
ISBN (Electronic)9781538629413
DOIs
Publication statusPublished - 2018 Feb 16
Event1st International Symposium on Computer Science and Intelligent Controls, ISCSIC 2017 - Budapest, Hungary
Duration: 2017 Oct 202017 Oct 22

Other

Other1st International Symposium on Computer Science and Intelligent Controls, ISCSIC 2017
Country/TerritoryHungary
CityBudapest
Period17/10/2017/10/22

Keywords

  • anaphora resolution
  • Deep cases
  • natural language processing

ASJC Scopus subject areas

  • Computer Science Applications
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'A Novel Japanese Anaphora Resolution Method Using Deep Cases'. Together they form a unique fingerprint.

Cite this