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A Two-Level Approach to Generate Synthetic Argumentation Reports
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In: ISSN: 1946-2166 ; EISSN: 1946-2174 ; Argument and Computation ; https://hal.archives-ouvertes.fr/hal-02191823 ; Argument and Computation, Taylor & Francis, 2018, 18 years of Computational Models of Natural Argument, 9 (2), pp.137-154. ⟨10.3233/AAC-180035⟩ ; https://content.iospress.com/articles/argument-and-computation/aac035 (2018)
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A Two-Level Approach to Generate Synthetic Argumentation Reports
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In: 17th Workshop on Computational Models of Natural Argumentation (CMNA@ICAIL 2017) ; https://hal.archives-ouvertes.fr/hal-02603764 ; 17th Workshop on Computational Models of Natural Argumentation (CMNA@ICAIL 2017), Jun 2017, Londres, United Kingdom (2017)
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Abstract:
International audience ; Given a controversial issue, a major challenge in argument mining is to organize the arguments which have been mined to generate a synthesis that is readable, synthetic enough and relevant for various types of users. Based on the Generative Lexicon (GL) Qualia structure, which is a kind of lexical and knowledge repository, that we have enhanced in different manners and associated with inferences and language patterns, we show how to construct a synthesis that outlines the typical elements found in arguments. We propose a two-level approach: a synthesis of the propositions that have been mined, and navigation facilities that allow users to access arguments, structured in clusters, in order to get more details. This approach contributes to characterize why and how propositions support or attack an issue or some facets of that issue.
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Keyword:
[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]; Argument mining; Generative Lexicon Qualia Structure; Knowledge representation; Natural language processing
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URL: https://hal.archives-ouvertes.fr/hal-02603764/document
https://hal.archives-ouvertes.fr/hal-02603764/file/saintdizier_22213.pdf
https://hal.archives-ouvertes.fr/hal-02603764
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Knowledge-Driven Argument Mining: what we learn from corpus analysis
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In: Proceedings of COMMA 2016 ; 6th International Conference on Computational Models of Argument (COMMA 2016) ; https://hal.archives-ouvertes.fr/hal-01436201 ; 6th International Conference on Computational Models of Argument (COMMA 2016), Sep 2016, Potsdam, Germany. pp. 65-72 (2016)
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Features of an Error Correction Memory to Enhance Technical Texts Authoring in LELIE
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In: ISSN: 2234-0068 ; International Journal of Knowledge Content Development & Technology ; https://hal.archives-ouvertes.fr/hal-01303853 ; International Journal of Knowledge Content Development & Technology, 2015, vol. 5 (n° 2), pp. 75-101. ⟨10.5865/IJKCT.2015.5.2.075⟩ (2015)
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OntoEnrich: A Platform for the Lexical Analysis of Ontologies
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In: Knowledge Engineering and Knowledge Management ; 19th International Conference on Knowledge Engineering and Knowledge Management - EKAW 2014 Satellite Events (EKAW 2014) ; https://hal.archives-ouvertes.fr/hal-01363345 ; 19th International Conference on Knowledge Engineering and Knowledge Management - EKAW 2014 Satellite Events (EKAW 2014), Nov 2014, Linköping, Sweden. pp. 172-176 (2014)
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