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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 2 of 2 1 Argument Mining: The bottleneck of knowledge and language resources Saint Dizier, Patrick 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) 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 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 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 BASE Hide details 2 Knowledge-Driven Argument Mining: what we learn from corpus analysis Saint Dizier, Patrick 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) BASE Show details

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