OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Argument Mining: The bottleneck of knowledge and language resources

Saint-Dizier, Patrick Argument Mining: The bottleneck of knowledge and language resources. (2016) In: 10th International Conference on Language Resources and Evaluation (LREC 2016), 5 May 2016 - 10 May 2016 (Portoroz, Slovenia).

[img]
Preview
(Document in English)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
183kB

Abstract

Given a controversial issue, argument mining from natural language texts (news papers, and any form of text on the Internet) is extremely challenging: domain knowledge is often required together with appropriate forms of inferences to identify arguments. This contribution explores the types of knowledge that are required and how they can be paired with reasoning schemes, language processing and language resources to accurately mine arguments. We show via corpus analysis that the Generative Lexicon, enhanced in different manners and viewed as both a lexicon and a domain knowledge representation, is a relevant approach. In this paper, corpus annotation for argument mining is first developed, then we show how the generative lexicon approach must be adapted and how it can be paired with language processing patterns to extract and specify the nature of arguments. Our approach to argument mining is thus {\bf knowledge driven

Item Type:Conference or Workshop Item (Paper)
Additional Information:Distribution of this paper is permitted under the terms of the Creative Commons Attribution 4.0 International License. The definitive version is available at: http://www.lrec-conf.org/proceedings/lrec2016/index.html The original PDF is available at: http://www.lrec-conf.org/proceedings/lrec2016/pdf/44_Paper.pdf
HAL Id:hal-01436203
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Statistics:download
Deposited By: IRIT IRIT
Deposited On:06 Jan 2017 14:55

Repository Staff Only: item control page