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Large-Scale Acquisition of Feature-Based Conceptual Representations from Textual Corpora
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In: Proceedings of the Annual Meeting of the Cognitive Science Society ; The Annual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-00507103 ; The Annual Meeting of the Cognitive Science Society, 2010, United States. 6 p (2010)
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Towards unrestricted, large-scale acquisition of feature-based conceptual representations from corpus data
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In: ISSN: 1570-7075 ; EISSN: 1572-8706 ; Research on Language and Computation ; https://hal.archives-ouvertes.fr/hal-00605539 ; Research on Language and Computation, Springer Verlag, 2010, 7 (2-4), pp.137-170 (2010)
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Investigating the cross-linguistic potential of VerbNet-style classification
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In: Proceedings of CoLing ; CoLing 2010 ; https://hal.archives-ouvertes.fr/hal-00539036 ; CoLing 2010, 2010, Beijing, China, China. pp.94 (2010)
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LexSchem: A Large Subcategorization Lexicon for French Verbs
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In: Proceedings of the Language Resources and Evaluation Conference (LREC) ; LREC 2008 ; https://hal.archives-ouvertes.fr/hal-00539025 ; LREC 2008, 2008, Marrakech, Morocco. pp.142 (2008)
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191 |
Technologies and Tools for Lexical Acquisition
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Rimell, Laura; Korhonen, Anna; Quochi, Valeria; Bel Rafecas, Núria; Caselli, Tommaso; Prokopidis, Prokopis; Gavrilidou, Maria; Poibeau, Thierry; Padró, Muntsa; Revilla, Eva; Monachini, Monica; Tesconi, Maurizio; Abrate, Matteo; Bacciu, Clara
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Abstract:
This report describes the technologies and tools to be used for Lexical Acquisition in PANACEA. It includes descriptions of existing technologies and tools which can be built on and improved within PANACEA, as well as of new technologies and tools to be developed and integrated in PANACEA. The report touches briefly on the criteria for evaluating the results of the tools and integration (but see D7.1 for a detailed description of the evaluation criteria). It also specifies the Lexical Resources to be produced.
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Keyword:
automatic acquisition of lexicon; natural language processing; Panacea Project
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URL: http://hdl.handle.net/10230/22525
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