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Ocean Governance: on the recognition of Institutions named in International Environmental Law
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In: A função do direito na gestão sustentável dos recursos minerais marinhos ; https://hal.archives-ouvertes.fr/hal-03099568 ; A função do direito na gestão sustentável dos recursos minerais marinhos, Editora Processo - Rio de Janeiro, In press (2020)
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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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Investigating Argument Relatedness Based on Linguistic Knowledge
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In: Proceedings of SEMAPRO 2018 ; 12th International Conference on Advances in Semantic Processing (SEMAPRO 2018) ; https://hal.archives-ouvertes.fr/hal-02181924 ; 12th International Conference on Advances in Semantic Processing (SEMAPRO 2018), Nov 2018, Athènes, Greece. pp.1-3 (2018)
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Exploring Argumentation Schemes Used in Discussing Controversial Social Issues
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In: Workshop 2: Argumentation and Society (ArgSoc 2018) ; 7th International Conference on Computational Models of Argument workshops (COMMA 2018 workshops) ; https://hal.archives-ouvertes.fr/hal-03044248 ; 7th International Conference on Computational Models of Argument workshops (COMMA 2018 workshops), Institute for Philosophy and Sociology, Polish Academy of Sciences (IFiS PAN), Sep 2018, Varsovie, Poland. pp.(electronic medium) ; http://comma2018.argdiap.pl/workshops/workshop-2/ (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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Using Question-Answering Techniques to Implement a Knowledge-Driven Argument Mining Approach - Workshop on argument mining
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In: Proceedings of the 4th Workshop on Argument Mining ; Conference on Empirical Methods in Natural Language Processing (EMNLP 2017) ; https://hal.archives-ouvertes.fr/hal-02640996 ; Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Sep 2017, Copenhague, Denmark. pp.85-90 (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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Abstract:
International audience ; Given a controversial issue, argument mining from natural language texts (news papers, and any form of text on the Internet) is extremely challenging: domain knowledge is often required together with appropriate forms of inferences to identify arguments. This contribution explores the types of knowledge that are required and how they can be paired with reasoning schemes, language processing and language resources to accurately mine arguments. We show via corpus analysis that the Generative Lexicon, enhanced in different manners and viewed as both a lexicon and a domain knowledge representation, is a relevant approach. In this paper, corpus annotation for argument mining is first developed, then we show how the generative lexicon approach must be adapted and how it can be paired with language processing patterns to extract and specify the nature of arguments. Our approach to argument mining is thus {\bf knowledge driven
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]; Argument mining; Generative lexicon; Knowledge representation
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URL: https://hal.archives-ouvertes.fr/hal-01436203/file/saintdizier_17222.pdf
https://hal.archives-ouvertes.fr/hal-01436203/document
https://hal.archives-ouvertes.fr/hal-01436203
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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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A Context Description Language for Medical Information Systems
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In: Mobile, Ubiquitous, and Intelligent Computing ; 4th International Conference on Mobile, Ubiquitous, and Intelligent Computing (MUSIC 2013) ; https://hal.archives-ouvertes.fr/hal-01650254 ; 4th International Conference on Mobile, Ubiquitous, and Intelligent Computing (MUSIC 2013), Sep 2013, Gwangju, South Korea. pp. 421-432 (2013)
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Extraction de l'information implicite par analyse textuelle de sites internet en UNICODE
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In: Actes du Colloque Veille Stratégique Scientifique et Technologique (VSST) , Nancy , 2009 ; Second séminaire VSST ; https://hal.archives-ouvertes.fr/hal-00381546 ; Second séminaire VSST, Mar 2009, Nancy, France. pp.000 (2009)
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Extraction de l'information implicite par analyse textuelle de sites Web en UNICODE
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In: Second séminaire VSST : Veille Stratégique Scientifique & Technologique, Systèmes d'information élaborée, Bibliométrie ; https://hal.archives-ouvertes.fr/hal-00379800 ; Second séminaire VSST : Veille Stratégique Scientifique & Technologique, Systèmes d'information élaborée, Bibliométrie, Mar 2009, Nancy, France (2009)
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