OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Using Question-Answering Techniques to Implement a Knowledge-Driven Argument Mining Approach - Workshop on argument mining

Saint-Dizier, Patrick Using Question-Answering Techniques to Implement a Knowledge-Driven Argument Mining Approach - Workshop on argument mining. (2017) In: Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), 6 September 2017 - 8 September 2017 (Copenhague, Denmark).

[img]
Preview
(Document in English)

PDF (Publisher’s version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
174kB

Official URL: https://doi.org/10.18653/v1/W17-5111

Abstract

This short paper presents a first implementation of a knowledge-driven argument mining approach. The major processing steps and language resources of the system are surveyed. An indicative evaluation outlines challenges and improvement directions.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-02640996
Audience (conference):National conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Statistics:download
Deposited On:26 May 2020 08:28

Repository Staff Only: item control page