Evidentials in causal premise semantics: theoretical and experimental investigation

Yurie Hara, Naho Orita, Hiromu Sakai

研究成果: Conference contribution

抄録

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

Fingerprint

Experimental Investigation
Semantics
Asymmetry
Predict
Evidence

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

Evidentials in causal premise semantics : theoretical and experimental investigation. / Hara, Yurie; Orita, Naho; Sakai, Hiromu.

New Frontiers in Artificial Intelligence - JSAI-isAI Workshops, JURISIN, SKL, AI-Biz, LENLS, AAA, SCIDOCA, kNeXI, Revised Selected Papers. 版 / Koji Mineshima; Kazuhiro Kojima; Ken Satoh; Sachiyo Arai; Daisuke Bekki; Yuiko Ohta. Springer-Verlag, 2018. p. 282-298 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 10838 LNAI).

研究成果: Conference contribution

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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 巻. 10838 LNAI, Springer-Verlag, pp. 282-298, 9th JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2017, Tsukuba, Japan, 17/11/13. https://doi.org/10.1007/978-3-319-93794-6_20
Hara Y, Orita N, Sakai H. Evidentials in causal premise semantics: theoretical and experimental investigation. : Mineshima K, Kojima K, Satoh K, Arai S, Bekki D, Ohta Y, 編集者, New Frontiers in Artificial Intelligence - JSAI-isAI Workshops, JURISIN, SKL, AI-Biz, LENLS, AAA, SCIDOCA, kNeXI, Revised Selected Papers. Springer-Verlag. 2018. p. 282-298. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-93794-6_20
Hara, Yurie ; Orita, Naho ; Sakai, Hiromu. / Evidentials in causal premise semantics : theoretical and experimental investigation. 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. Springer-Verlag, 2018. pp. 282-298 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{12f45bbb0cab4033b48f786564a47c11,
title = "Evidentials in causal premise semantics: theoretical and experimental investigation",
abstract = "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.",
keywords = "Causal network, Causal premise semantics, Causality, Corpus study, Evidentiality, Implicature, Modality, Naturalness rating experiment",
author = "Yurie Hara and Naho Orita and Hiromu Sakai",
year = "2018",
month = "1",
day = "1",
doi = "10.1007/978-3-319-93794-6_20",
language = "English",
isbn = "9783319937939",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "282--298",
editor = "Koji Mineshima and Kazuhiro Kojima and Ken Satoh and Sachiyo Arai and Daisuke Bekki and Yuiko Ohta",
booktitle = "New Frontiers in Artificial Intelligence - JSAI-isAI Workshops, JURISIN, SKL, AI-Biz, LENLS, AAA, SCIDOCA, kNeXI, Revised Selected Papers",

}

TY - GEN

T1 - Evidentials in causal premise semantics

T2 - theoretical and experimental investigation

AU - Hara, Yurie

AU - Orita, Naho

AU - Sakai, Hiromu

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

KW - Causal network

KW - Causal premise semantics

KW - Causality

KW - Corpus study

KW - Evidentiality

KW - Implicature

KW - Modality

KW - Naturalness rating experiment

UR - http://www.scopus.com/inward/record.url?scp=85049698187&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85049698187&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-93794-6_20

DO - 10.1007/978-3-319-93794-6_20

M3 - Conference contribution

AN - SCOPUS:85049698187

SN - 9783319937939

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 282

EP - 298

BT - New Frontiers in Artificial Intelligence - JSAI-isAI Workshops, JURISIN, SKL, AI-Biz, LENLS, AAA, SCIDOCA, kNeXI, Revised Selected Papers

A2 - Mineshima, Koji

A2 - Kojima, Kazuhiro

A2 - Satoh, Ken

A2 - Arai, Sachiyo

A2 - Bekki, Daisuke

A2 - Ohta, Yuiko

PB - Springer-Verlag

ER -