A corpus-based analysis of coreferential recency effect in Japanese discourse for tracking dynamic topic

Shun Shiramatsu, Tadachika Ozono, Toramatsu Shintani, Hiroshi G. Okuno

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

Abstract

This paper describes an analysis of the recency effect of terms appearing in a corpus of meeting transcripts in Japanese. The aim of the study is to improve a method for tracking dynamic topics that have been developed for visualizing a long meeting transcript. The recency effect observed from the appearance of terms in discourse context, the coreferential recency effect, is an important factor to deal with dynamic transition of topic. Statistical analysis using a corpus of meeting transcripts quantitatively clarifies the relationship between linguistic features and the coreferential recency effect.

Original languageEnglish
Title of host publicationProceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
Pages645-650
Number of pages6
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 - Yamagata
Duration: 2010 Aug 182010 Aug 20

Other

Other9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
CityYamagata
Period10/8/1810/8/20

Keywords

  • Corpus analysis
  • Discourse analysis
  • Natural language processing
  • Salience
  • Serial position curve

ASJC Scopus subject areas

  • Information Systems

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    Shiramatsu, S., Ozono, T., Shintani, T., & Okuno, H. G. (2010). A corpus-based analysis of coreferential recency effect in Japanese discourse for tracking dynamic topic. In Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 (pp. 645-650). [5590983] https://doi.org/10.1109/ICIS.2010.65