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

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

doi:10.1109/ICIS.2010.65

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

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
Pages	645-650
Number of pages	6
DOIs	https://doi.org/10.1109/ICIS.2010.65
Publication status	Published - 2010
Externally published	Yes
Event	9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 - Yamagata Duration: 2010 Aug 18 → 2010 Aug 20

Other

Other	9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
City	Yamagata
Period	10/8/18 → 10/8/20

Keywords

Corpus analysis
Discourse analysis
Natural language processing
Salience
Serial position curve

ASJC Scopus subject areas

Information Systems

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10.1109/ICIS.2010.65

Cite this

A corpus-based analysis of coreferential recency effect in Japanese discourse for tracking dynamic topic. / Shiramatsu, Shun; Ozono, Tadachika; Shintani, Toramatsu et al.

Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010. 2010. p. 645-650 5590983.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shiramatsu, S, Ozono, T, Shintani, T & Okuno, HG 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., 5590983, pp. 645-650, 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010, Yamagata, 10/8/18. https://doi.org/10.1109/ICIS.2010.65

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

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.",

keywords = "Corpus analysis, Discourse analysis, Natural language processing, Salience, Serial position curve",

author = "Shun Shiramatsu and Tadachika Ozono and Toramatsu Shintani and Okuno, {Hiroshi G.}",

year = "2010",

doi = "10.1109/ICIS.2010.65",

language = "English",

isbn = "9780769541471",

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AU - Shiramatsu, Shun

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AU - Shintani, Toramatsu

AU - Okuno, Hiroshi G.

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Corpus analysis

KW - Discourse analysis

KW - Natural language processing

KW - Salience

KW - Serial position curve

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DO - 10.1109/ICIS.2010.65

M3 - Conference contribution

AN - SCOPUS:78649258074

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SP - 645

EP - 650

BT - Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010

T2 - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010

Y2 - 18 August 2010 through 20 August 2010

ER -

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

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Keywords

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