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Challenges of argument mining: generating an argument synthesis based on the Qualia structure

Saint-Dizier, Patrick Challenges of argument mining: generating an argument synthesis based on the Qualia structure. (2016) In: 9th International Conference on Natural Language Generation (INLG 2016), 6 September 2016 - 8 September 2016 (Edinburgh, United Kingdom).

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Abstract

Given a controversial issue, argument mining from texts in natural language is extremely challenging: besides linguistic aspects, domain knowledge is often required together with appropriate forms of inferences to identify arguments. A major challenge is then to organize the arguments which have been mined to generate a synthesis that is relevant and usable. We show that the Generative Lexicon (GL) Qualia structure, enhanced in different manners and associated with inferences and language patterns, allows to capture the typical concepts found in arguments and to organize a relevant synthesis.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to INLG Heriot-Watt University. The definitive version is available at http://www.macs.hw.ac.uk/InteractionLab/INLG2016/proceedings/index.html The original PDF is available at: http://www.macs.hw.ac.uk/InteractionLab/INLG2016/proceedings/pdf/INLG13.pdf
HAL Id:hal-01436199
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)
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Deposited By: IRIT IRIT
Deposited On:06 Jan 2017 10:12

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