Romaric Besançon
Romaric Besançon
Research Engineer, CEA LIST, France
Verified email at
Cited by
Cited by
Text mining: natural language techniques and text mining applications
M Rajman, R Besançon
Data mining and reverse engineering, 50-64, 1998
Text mining-knowledge extraction from unstructured textual data
M Rajman, R Besançon
Advances in data science and classification, 473-480, 1998
LIMA: A Multilingual Framework for Linguistic Analysis and Linguistic Resources Development and Evaluation.
R Besançon, G De Chalendar, O Ferret, F Gara, O Mesnard, M Laïb, ...
LREC, 2010
Multilingual document clusters discovery
B Mathieu, R Besancon, C Fluhr
Recherche d’Information Assistée par Ordinateur (RIAO) Proceedings, 1-10, 2004
Generative event schema induction with entity disambiguation
KH Nguyen, X Tannier, O Ferret, R Besançon
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
Filtering and clustering relations for unsupervised information extraction in open domain
W Wang, R Besançon, O Ferret, B Grau
Proceedings of the 20th ACM international conference on Information and …, 2011
Textual similarities based on a distributional approach
R Besançon, M Rajman, JC Chappelier
Proceedings. Tenth International Workshop on Database and Expert Systems …, 1999
Combining word and entity embeddings for entity linking
JG Moreno, R Besançon, R Beaumont, E D’hondt, AL Ligozat, S Rosset, ...
European Semantic Web Conference, 337-352, 2017
Intégration de connaissances syntaxiques et sémantiques dans les représentations vectorielles de textes-Application au calcul de similarités sémantiques dans le cadre du modèle …
R Besançon
Thèse de doctorat-EPFL-Lausanne, 2001
Concept-based searching and merging for multilingual information retrieval: First experiments at clef 2003
R Besançon, G De Chalendar, O Ferret, C Fluhr, O Mesnard, H Naets
Workshop of the Cross-Language Evaluation Forum for European Languages, 174-184, 2003
Text Segmentation and Graph-based Method for Template Filling in Information Extraction
L Jean-Louis, R Besançon, O Ferret
Proceedings of the 5th International Joint Conference on Natural Language …, 2011
[LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter
M Marchand, AL Ginsca, R Besançon, O Mesnard
Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013
Cross-media feedback strategies: Merging text and image information to improve image retrieval
R Besançon, P Hède, PA Moellic, C Fluhr
Workshop of the Cross-Language Evaluation Forum for European Languages, 709-717, 2004
L’analyseur syntaxique de LIMA dans la campagne d’évaluation EASY
R Besançon, G de Chalendar
Proceedings of TALN 5, 2005
Evaluation of a vector space similarity measure in a multilingual framework
R Besançon, M Rajman
Proceedings of the Third International Conference on Language Resource and …, 2002
Using temporal cues for segmenting texts into events
L Jean-Louis, R Besançon, O Ferret
International Conference on Natural Language Processing, 150-161, 2010
The LIC2M's CLEF 2003 System.
R Besançon, G de Chalendar, O Ferret, C Fluhr, O Mesnard, H Naets
CLEF (Working Notes), 2003
# Élysée2017fr: The 2017 French Presidential Campaign on Twitter
O Fraisier, G Cabanac, Y Pitarch, R Besancon, M Boughanem
Proceedings of the International AAAI Conference on Web and Social Media 12 (1), 2018
Le modèle DSIR: une approche à base de sémantique distributionnelle pour la recherche documentaire
Traitement automatique des langues 41 (2), 549-578, 2000
Uncovering like-minded political communities on twitter
O Fraisier, G Cabanac, Y Pitarch, R Besançon, M Boughanem
Proceedings of the ACM SIGIR International Conference on Theory of …, 2017
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