Towards argument mining from dialogue

Katarzyna Budzynska; Mathilde Janier; Juyeon Kang; Chris Reed; Patrick Saint-Dizier; Manfred Stede; Olena Yaskorska

doi:10.3233/978-1-61499-436-7-185

Towards argument mining from dialogue

Katarzyna Budzynska, Mathilde Janier, Juyeon Kang, Chris Reed, Patrick Saint-Dizier, Manfred Stede, Olena Yaskorska

Computing

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

31 Citations (Scopus)

Abstract

Argument mining has started to yield early results in automatic analysis of text to produce representations of reason-conclusion structures. This paper addresses for the first time the question of automatically extracting such structures from dialogical settings of argument. More specifically, we introduce theoretical foundations for dialogical argument mining as well as show the initial implementation in a software for dialogue processing, and the application in corpus analysis. We combine analysis of illocutionary structure with structured argumentation frameworks as our scaffolding, and apply a combination of statistical and grammatically based analytical techniques.

Original language	English
Title of host publication	Computational Models of Argument
Subtitle of host publication	Proceedings of COMMA 2014
Editors	Simon Parsons, Nir Oren, Chris Reed, Federico Cerutti
Place of Publication	Amsterdam
Publisher	IOS Press
Pages	185-196
Number of pages	12
ISBN (Electronic)	9781614994367
ISBN (Print)	9781614994350
DOIs	https://doi.org/10.3233/978-1-61499-436-7-185
Publication status	Published - 2014
Event	Fifth International Conference on Computational Models of Argument - Atholl Palace Hotel, Pitlochry, United Kingdom Duration: 9 Sept 2014 → 12 Sept 2014 http://www.comma-conf.org/

Publication series

Name	Frontiers in artificial intelligence and applications
Publisher	IOS Press
Volume	266
ISSN (Print)	0922-6389

Conference

Conference	Fifth International Conference on Computational Models of Argument
Abbreviated title	COMMA 2014
Country/Territory	United Kingdom
City	Pitlochry
Period	9/09/14 → 12/09/14
Internet address	http://www.comma-conf.org/

Keywords

Argument Mining
Dialogue Structure
Inference Anchoring Theory

ASJC Scopus subject areas

Artificial Intelligence

Access to Document

10.3233/978-1-61499-436-7-185

http://library.dundee.ac.uk/F/T7U9VUN5HKDLKB441XQ1IN316K1T34T4AMVXLQDPY3DLEY1YC1-01040?func=find-e&adjacent=N&request=9781614994350&find_scan_code=FIND_WRD&x=0&y=0

Cite this

Budzynska, K., Janier, M., Kang, J., Reed, C., Saint-Dizier, P., Stede, M., & Yaskorska, O. (2014). Towards argument mining from dialogue. In S. Parsons, N. Oren, C. Reed, & F. Cerutti (Eds.), Computational Models of Argument: Proceedings of COMMA 2014 (pp. 185-196). (Frontiers in artificial intelligence and applications; Vol. 266). IOS Press. https://doi.org/10.3233/978-1-61499-436-7-185

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title = "Towards argument mining from dialogue",

abstract = "Argument mining has started to yield early results in automatic analysis of text to produce representations of reason-conclusion structures. This paper addresses for the first time the question of automatically extracting such structures from dialogical settings of argument. More specifically, we introduce theoretical foundations for dialogical argument mining as well as show the initial implementation in a software for dialogue processing, and the application in corpus analysis. We combine analysis of illocutionary structure with structured argumentation frameworks as our scaffolding, and apply a combination of statistical and grammatically based analytical techniques.",

keywords = "Argument Mining, Dialogue Structure, Inference Anchoring Theory",

author = "Katarzyna Budzynska and Mathilde Janier and Juyeon Kang and Chris Reed and Patrick Saint-Dizier and Manfred Stede and Olena Yaskorska",

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editor = "Simon Parsons and Nir Oren and Chris Reed and Federico Cerutti",

booktitle = "Computational Models of Argument",

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note = "Fifth International Conference on Computational Models of Argument, COMMA 2014 ; Conference date: 09-09-2014 Through 12-09-2014",

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Budzynska, K, Janier, M, Kang, J, Reed, C, Saint-Dizier, P, Stede, M & Yaskorska, O 2014, Towards argument mining from dialogue. in S Parsons, N Oren, C Reed & F Cerutti (eds), Computational Models of Argument: Proceedings of COMMA 2014. Frontiers in artificial intelligence and applications, vol. 266, IOS Press, Amsterdam, pp. 185-196, Fifth International Conference on Computational Models of Argument, Pitlochry, United Kingdom, 9/09/14. https://doi.org/10.3233/978-1-61499-436-7-185

Towards argument mining from dialogue. / Budzynska, Katarzyna; Janier, Mathilde; Kang, Juyeon et al.
Computational Models of Argument: Proceedings of COMMA 2014. ed. / Simon Parsons; Nir Oren; Chris Reed; Federico Cerutti. Amsterdam: IOS Press, 2014. p. 185-196 (Frontiers in artificial intelligence and applications; Vol. 266).

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

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T1 - Towards argument mining from dialogue

AU - Budzynska, Katarzyna

AU - Janier, Mathilde

AU - Kang, Juyeon

AU - Reed, Chris

AU - Saint-Dizier, Patrick

AU - Stede, Manfred

AU - Yaskorska, Olena

PY - 2014

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AB - Argument mining has started to yield early results in automatic analysis of text to produce representations of reason-conclusion structures. This paper addresses for the first time the question of automatically extracting such structures from dialogical settings of argument. More specifically, we introduce theoretical foundations for dialogical argument mining as well as show the initial implementation in a software for dialogue processing, and the application in corpus analysis. We combine analysis of illocutionary structure with structured argumentation frameworks as our scaffolding, and apply a combination of statistical and grammatically based analytical techniques.

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KW - Dialogue Structure

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SN - 9781614994350

T3 - Frontiers in artificial intelligence and applications

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BT - Computational Models of Argument

A2 - Parsons, Simon

A2 - Oren, Nir

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T2 - Fifth International Conference on Computational Models of Argument

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Towards argument mining from dialogue

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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Computational Models of Argument: Proceedings of COMMA 2014

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