Evidentials in causal premise semantics: theoretical and experimental investigation

Yurie Hara, Naho Orita, Hiromu Sakai

研究成果: Conference contribution

抜粋

We formalize the causal component of Davis & Hara’s (2014) analysis of Japanese evidentiality, which defines “indirect evidence” as an observation of the effect state of the cause-effect dependency. The analysis correctly predicts that uttering p-youda only commits the speaker to ‘if p, q must be true’ but not to the prejacent p, and successfully derives the asymmetry between the prejacent p and the evidence source q. Also, the results of the rating study and the corpus study show that the interpretation and the distribution of evidentials are subject to the cause-effect dependencies.

元の言語English
ホスト出版物のタイトルNew Frontiers in Artificial Intelligence - JSAI-isAI Workshops, JURISIN, SKL, AI-Biz, LENLS, AAA, SCIDOCA, kNeXI, Revised Selected Papers
編集者Koji Mineshima, Kazuhiro Kojima, Ken Satoh, Sachiyo Arai, Daisuke Bekki, Yuiko Ohta
出版者Springer-Verlag
ページ282-298
ページ数17
ISBN(印刷物)9783319937939
DOI
出版物ステータスPublished - 2018 1 1
イベント9th JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2017 - Tsukuba, Japan
継続期間: 2017 11 132017 11 15

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10838 LNAI
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Other

Other9th JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2017
Japan
Tsukuba
期間17/11/1317/11/15

    フィンガープリント

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

これを引用

Hara, Y., Orita, N., & Sakai, H. (2018). Evidentials in causal premise semantics: theoretical and experimental investigation. : K. Mineshima, K. Kojima, K. Satoh, S. Arai, D. Bekki, & Y. Ohta (版), New Frontiers in Artificial Intelligence - JSAI-isAI Workshops, JURISIN, SKL, AI-Biz, LENLS, AAA, SCIDOCA, kNeXI, Revised Selected Papers (pp. 282-298). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 10838 LNAI). Springer-Verlag. https://doi.org/10.1007/978-3-319-93794-6_20