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Shallow techniques for argument mining

Clos, Jérémie and Wiratunga, Nirmalie and Massie, Stewart and Cabanac, Guillaume Shallow techniques for argument mining. (2016) In: 1st European Conference on Argumentation (ECA 2015), 9 June 2015 - 12 June 2015 (Lisbon, Portugal).

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Abstract

Argument mining has recently emerged as a promising field at the frontiers of the argumentation and text mining communities. However, most techniques developed within that field do not scale to larger amounts of data, depriving us for example of valuable insights in large-scale discussion forums. On two social media datasets, we study different lightweight scalable text mining techniques used within the sentiment analysis community and their applicability to the argument mining problem.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to College pubilcations. This papers appears in Volume 63 of Studies in Logic. Contents : ISBN: 978-1-84890-212-1 http://ecargument.org/wp-content/uploads/2016/08/Arg._Reasoned_Action_Vol.2_Covers_TOC.pdf The definitive version is available at: http://www.collegepublications.co.uk/logic/sla/?00007
HAL Id:hal-01567080
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (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)
Other partners > Robert Gordon University - RGU (UNITED KINGDOM)
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Deposited By: IRIT IRIT
Deposited On:05 Jul 2017 09:05

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