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Unsupervised Word Sense Induction from Multiple Semantic Spaces with Locality Sensitive Hashing.

, , , and . RANLP, page 287-291. RANLP 2009 Organising Committee / ACL, (2009)

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Domain Adaptation for Opinion Mining: A Study of Multipolarity Words., , , and . JLCL, 29 (1): 17-31 (2014)De l'importance des synonymes pour la sélection de passages en question-réponse., , , , , , , , and . CORIA, page 71-84. (2005)Processing of unknown words in a natural language question-answering system., , , and . Computational Intelligence, (1988)Multitechnique paraphrase alignment: A contribution to pinpointing sub-sentential paraphrases., , and . ACM TIST, 4 (3): 44:1-44:27 (2013)EQueR: the French Evaluation campaign of Question-Answering Systems., , and . LREC, page 1157-1160. European Language Resources Association (ELRA), (2006)The Ongoing Evaluation Campaign of Syntactic Parsing of French: EASY., , , , , , and . LREC, European Language Resources Association, (2004)Supervised Machine Learning Techniques to Detect TimeML Events in French and English., , , and . NLDB, volume 9103 of Lecture Notes in Computer Science, page 19-32. Springer, (2015)Study of Domain Dependant Multi-Polarity Words for Document Level Opinion Mining (Influence des marqueurs multi-polaires dépendant du domaine pour la fouille d'opinion au niveau du texte) [in French]., , , and . TALN (1), page 1-12. The Association for Computer Linguistics, (2014)Validation of sub-sentential paraphrases acquired from parallel monolingual corpora., , and . EACL, page 716-725. The Association for Computer Linguistics, (2012)Répondre à des questions à réponses multiples : premières expérimentations., , and . CORIA, page 337-352. (2013)