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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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Knowledge-Driven Argument Mining Based on the Qualia Structure
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In: ISSN: 1946-2166 ; EISSN: 1946-2174 ; Argument and Computation ; https://hal.archives-ouvertes.fr/hal-02535069 ; Argument and Computation, Taylor & Francis, 2017, 8 (2), pp.193-210. ⟨10.3233/AAC-170124⟩ (2017)
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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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Argument Mining: The bottleneck of knowledge and language resources
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In: Proceedings of the 10th International Conference on Language Resources and Evaluation ; 10th International Conference on Language Resources and Evaluation (LREC 2016) ; https://hal.archives-ouvertes.fr/hal-01436203 ; 10th International Conference on Language Resources and Evaluation (LREC 2016), May 2016, Portoroz, Slovenia. pp. 983-990 (2016)
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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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On the quality of persuasion dialogs
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In: ISSN: 0860-150X ; Studies in Logic, Grammar and Rhetoric ; https://hal.archives-ouvertes.fr/hal-03324538 ; Studies in Logic, Grammar and Rhetoric, Polish Society for Logic and Philosophy of Science, 2011, Special issue Argument and Computation, 23 (36), pp.69-98 (2011)
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Abstract:
International audience ; Several systems have been proposed for generating persuasion dialogs in which agents try to persuade each others to change their mind on a state of affairs. In this paper, we focus on the evaluation of the quality of those dialogs. We particularly propose three families of measures: i) measures of the quality of exchanged arguments, ii) measures of the behavior of each participating agent in terms of coherence, aggressiveness and the novelty of her arguments, iii) measures of the quality of the dialog itself in terms of relevance and usefulness of its moves. A notion of conciseness of a dialog is also introduced. For each persuasion dialog, we compute its ideal dialog which is a concise sub-dialog. The closer a dialog to its ideal sub-dialog, the better it is.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [SCCO]Cognitive science; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.4: Knowledge Representation Formalisms and Methods; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.4: Knowledge Representation Formalisms and Methods/I.2.4.4: Representation languages
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URL: https://hal.archives-ouvertes.fr/hal-03324538/file/SLGR2011.pdf
https://hal.archives-ouvertes.fr/hal-03324538/document
https://hal.archives-ouvertes.fr/hal-03324538
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A three-level approach to the semantics of space
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In: The semantics of prepositions: from mental processing to natural language processing ; https://hal.archives-ouvertes.fr/hal-00462578 ; Cornelia Zelinsky-Wibbelt. The semantics of prepositions: from mental processing to natural language processing, Mouton de Gruyter, pp.395-439, 1993, Natural Language Processing 3 (1993)
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