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1
Looking for Opinion in Land-Use Planning Corpora
In: 15th International Conference on Intelligent Text Processing and Computational Linguistics, Proceedings, Part II ; CICLing: Conference on Intelligent Text Processing and Computational Linguistics ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01054901 ; CICLing: Conference on Intelligent Text Processing and Computational Linguistics, Apr 2014, Kathmandu, Nepal. pp.128-140, ⟨10.1007/978-3-642-54903-8-11⟩ (2014)
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2
How to exploit paralinguistic features to identify acronyms in texts?
In: 9th International Conference on Language Resources and Evaluation ; LREC: Language Resources and Evaluation Conference ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00974797 ; LREC: Language Resources and Evaluation Conference, May 2014, Reykjavik, Iceland. pp.69-72 ; http://www.lrec-conf.org/proceedings/lrec2014/index.html (2014)
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3
WeMiT: Web-Mining for Translation
In: Conference on Prestigious Applications of Intelligent Systems ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00723563 ; Conference on Prestigious Applications of Intelligent Systems, Montpellier, France. pp.993-994 ; http://www2.lirmm.fr/ecai2012/index.php?option=com_content&view=article&id=72&Itemid=73 (2012)
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4
Construction d'un dictionnaire multilingue de biodiversité à partir de dires d'experts
In: INFORSID ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00723586 ; INFORSID, May 2012, Montpellier, France. pp.8 ; http://inforsid2012.espace-dev.fr/ (2012)
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5
How to Rank Terminology Extracted by Exterlog
In: Knowledge Discovery, Knowlege Engineering and Knowledge Management ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00723580 ; Knowledge Discovery, Knowlege Engineering and Knowledge Management, 128, Springer-Verlag, pp.121-132, 2011, Communications in Computer and Information Science (CCIS) (2011)
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6
How to Expand Dictionaries with Web-Mining Techniques
In: COGALEX'10: Cognitive Aspects of the Lexicon ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00588549 ; COGALEX'10: Cognitive Aspects of the Lexicon, Beijing, China. pp.5 (2011)
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7
Towards an Automatic Characterization of Criteria
In: 22nd International Conference on Database and Expert Systems Applications ; DEXA: Database and Expert Systems Applications ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00723579 ; DEXA: Database and Expert Systems Applications, Aug 2011, Toulouse, France. pp.457-465, ⟨10.1007/978-3-642-23088-2_34⟩ ; http://www.dexa.org/previous/dexa2011/index.html (2011)
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8
How Statistical Information from the Web can Help Identify Named Entities
In: WEBIST'11: Web Information Systems and Technologies - Web and Text Mining Session ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00588581 ; WEBIST'11: Web Information Systems and Technologies - Web and Text Mining Session, Netherlands. pp.685-689 (2011)
Abstract: International audience ; This paper presents a Natural Language Processing (NLP) approach to filter Named Entities (NE) from a list of collocation candidates. The NE are defined as the names of 'People', 'Places', 'Organizations', 'Software', 'Illnesses', and so forth. The proposed method is based on statistical measures associated with Web resources to identify NE. Our method has three stages: (1) Building artificial prepositional collocations from Noun-Noun candidates; (2) Measuring the "relevance" of the resulting prepositional collocations using statistical methods (Web Mining); (3) Selecting prepositional collocations. The evaluation of Noun-Noun collocations from French and English corpora confirmed the relevance of our system.
Keyword: [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [INFO.INFO-WB]Computer Science [cs]/Web; [SPI.OTHER]Engineering Sciences [physics]/Other; Named Entity; Natural Language Processing; Terminology; Text-Mining
URL: https://hal-lirmm.ccsd.cnrs.fr/lirmm-00588581/document
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00588581/file/MR_Webist2011.pdf
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00588581
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9
FIN3E Approach: Identification of Named Entities from Extracted Terms
In: ICCS'2010: International Conference on Cognitive Science ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00588527 ; ICCS'2010: International Conference on Cognitive Science, Beijing, China. pp.356-358, 2010 (2010)
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10
Détection d'opinion. Comment déterminer les adjectifs d'opinion d'un domaine donné
In: ISSN: 1279-5127 ; EISSN: 1963-1014 ; Document Numérique ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00349236 ; Document Numérique, Lavoisier, 2008, 11 (1-2), pp.37-61. ⟨10.3166/DN.11.1-2.37-61⟩ (2008)
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11
Détection d'opinion : Apprenons les bons adjectifs !
In: INFORSID'08 : INFormatique des Organisations et Systèmes d'Information et de Décision - Atelier FODOP'08 ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00277785 ; INFORSID'08 : INFormatique des Organisations et Systèmes d'Information et de Décision - Atelier FODOP'08, 2008, France. pp.59-66 (2008)
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12
AcroDef: A Quality Measure for Discriminating Expansions of Ambiguous Acronyms
In: 6th International and Interdisciplinary Conference on Modeling and Using Context ; CONTEXT ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00168945 ; CONTEXT, Aug 2007, Roskilde, Denmark. pp.411-424, ⟨10.1007/978-3-540-74255-5_31⟩ (2007)
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