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CAS: corpus of clinical cases in French
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In: ISSN: 2041-1480 ; Journal of Biomedical Semantics ; https://hal.archives-ouvertes.fr/hal-03021064 ; Journal of Biomedical Semantics, BioMed Central, 2020, ⟨10.1186/s13326-020-00225-x⟩ (2020)
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CAS: corpus of clinical cases in French
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In: J Biomed Semantics (2020)
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Speculation and negation detection in french biomedical corpora
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In: RANLP 2019 - Recent Advances in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-02284444 ; RANLP 2019 - Recent Advances in Natural Language Processing, Sep 2019, Varna, Bulgaria. pp.1-10 (2019)
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CAS: French Corpus with Clinical Cases
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In: LOUHI 2018 - The Ninth International Workshop on Health Text Mining and Information Analysis ; https://hal.archives-ouvertes.fr/hal-01937096 ; LOUHI 2018 - The Ninth International Workshop on Health Text Mining and Information Analysis, Oct 2018, Bruxelles, France. pp.1-7 (2018)
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IRISA at DeFT2017 : classification systems of increasing complexity ; Participation de l'IRISA à DeFT2017 : systèmes de classification de complexité croissante
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In: DeFT 2017 - Défi Fouille de texte ; https://hal.archives-ouvertes.fr/hal-01643993 ; DeFT 2017 - Défi Fouille de texte, Jun 2017, Orléans, France. pp.1-10 (2017)
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Strategies to select examples for Active Learning with Conditional Random Fields
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In: CICLing 2017 - 18th International Conference on Computational Linguistics and Intelligent Text Processing ; https://hal.archives-ouvertes.fr/hal-01621338 ; CICLing 2017 - 18th International Conference on Computational Linguistics and Intelligent Text Processing, Apr 2017, Budapest, Hungary. pp.1-14 (2017)
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Direct vs. indirect evaluation of distributional thesauri
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In: Proceedings of the International Conference on Computational Linguistics, COLING ; International Conference on Computational Linguistics, COLING ; https://hal.archives-ouvertes.fr/hal-01394739 ; International Conference on Computational Linguistics, COLING, Dec 2016, Osaka, Japan (2016)
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Evaluating Lexical Similarity to build Sentiment Similarity
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In: Proceedings of the Language and Resource Conference, LREC ; Language and Resource Conference, LREC ; https://hal.archives-ouvertes.fr/hal-01394768 ; Language and Resource Conference, LREC, May 2016, portoroz, Slovenia (2016)
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Distributional Thesauri for Information Retrieval and vice versa
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In: Proceedings of Language and Resource Conference, LREC ; Language and Resource Conference, LREC ; https://hal.archives-ouvertes.fr/hal-01394770 ; Language and Resource Conference, LREC, May 2016, Portoroz, Slovenia (2016)
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Opinion Target Expression extraction : from English to French ; Extraction d'expressions-cibles de l'opinion : de l'anglais au français
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In: Actes de la conférence conjointe JEP-TALN-RECITAL 2016, volume 2 : TALN ; Traitement Automatique des Langues Naturelles, JEP-TALN-RECITAL ; https://hal.archives-ouvertes.fr/hal-01397188 ; Traitement Automatique des Langues Naturelles, JEP-TALN-RECITAL, Jul 2016, Paris, France (2016)
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Thésaurus distributionnels pour la recherche d'information et vice-versa
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In: Conférence en Recherche d’Information et Applications ; https://hal.archives-ouvertes.fr/hal-01226532 ; Conférence en Recherche d’Information et Applications, Mar 2015, Paris, France (2015)
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IRISA at DeFT 2015: Supervised and Unsupervised Methods in Sentiment Analysis
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In: DeFT, Défi Fouille de Texte, joint à la conférence TALN 2015 ; https://hal.archives-ouvertes.fr/hal-01226528 ; DeFT, Défi Fouille de Texte, joint à la conférence TALN 2015, Jun 2015, Caen, France (2015)
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Thésaurus distributionnels pour la recherche d'information et vice-versa
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In: ISSN: 1279-5127 ; EISSN: 1963-1014 ; Document Numérique ; https://hal.archives-ouvertes.fr/hal-01226551 ; Document Numérique, Lavoisier, 2015, 18 (2-3), ⟨10.3166/DN.18.2-3.101-121⟩ (2015)
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Stratégies de sélection des exemples pour l’apprentissage actif avec des champs aléatoires conditionnels
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In: Actes de la conférence TALN 2015 ; Conférence TALN 2015 ; https://hal.archives-ouvertes.fr/hal-01206847 ; Conférence TALN 2015, Jun 2015, Caen, France (2015)
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RePaLi participation to CLEF eHealth IR challenge 2014: leveraging term variation
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In: Proc of Conference and Labs of the Evaluation Forum CLEF ; Conference and Labs of the Evaluation Forum CLEF ; https://hal.archives-ouvertes.fr/hal-01027534 ; Conference and Labs of the Evaluation Forum CLEF, Sep 2014, Sheffield, United Kingdom. 13 p (2014)
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Generating and using probabilistic morphological resources for the biomedical domain
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In: Proceedings of the 9th edition of the Language Resources and Evaluation Conference, LREC 2014 ; 9th edition of the Language Resources and Evaluation Conference, LREC 2014 ; https://hal.archives-ouvertes.fr/hal-01027778 ; 9th edition of the Language Resources and Evaluation Conference, LREC 2014, May 2014, Reykjavik, Iceland. 7 p (2014)
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Improving distributional thesauri by exploring the graph of neighbors
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In: Proc of 25th International Conference on Computational Linguistics, COLING 2014 ; International Conference on Computational Linguistics, COLING 2014 ; https://hal.archives-ouvertes.fr/hal-01027545 ; International Conference on Computational Linguistics, COLING 2014, Aug 2014, Dublin, Ireland. 12 p (2014)
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Automatic Acquisition of GL Resources, Using an Explanatory, Symbolic Technique
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In: Advances in Generative Lexicon Theory ; https://hal.archives-ouvertes.fr/hal-00760258 ; Advances in Generative Lexicon Theory, Springer, pp.ch19, 2013 (2013)
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Proper Noun Semantic Clustering using Bag-Of-Vectors
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In: Proceedings of the Applied Natural Language Processing (ANLP) conference. Special track at the 25th International FLAIRS Conference ; ANLP - Applied Natural Language Processing conference. Special track at the 25th International FLAIRS Conference. ; https://hal.archives-ouvertes.fr/hal-00760105 ; ANLP - Applied Natural Language Processing conference. Special track at the 25th International FLAIRS Conference., May 2012, Marco Island, FL, United States (2012)
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Abstract:
International audience ; In this paper, we propose a model for semantic clustering of entities extracted from a text, and we apply it to a Proper Noun classification task. This model is based on a new method to compute the similarity between the entities. In- deed, the classical way of calculating similarity is to build a feature vector or Bag-of-Features for each entity and then use classical similarity functions like cosine. In practice, the fea- tures are contextual ones, such as words around the different occurrences of each entity. Here, we propose to use an alternative representation for en- tities, called Bag-Of-Vectors, or Bag-of-Bags-of-Features. In this new model, each entity is not defined as a unique vector but as a set of vectors, in which each vector is built based on the contextual features of one occurrence of the entity. In or- der to use Bag-Of-Vectors for clustering, we introduce new versions of classical similarity functions such as Cosine, Jac- card and Scalar Products. Experimentally, we show that the Bag-Of-Vectors representa- tion always improve the clustering results compared to clas- sical Bag-Of-Features representations.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
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URL: https://hal.archives-ouvertes.fr/hal-00760105/file/Ebadat-Ali-Reza-vf.pdf
https://hal.archives-ouvertes.fr/hal-00760105/document
https://hal.archives-ouvertes.fr/hal-00760105
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Using shallow linguistic features for relation extraction in bio-medical texts
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In: Actes de la conférence TALN ; Traitement Automatique des Langues Naturelles, TALN ; https://hal.archives-ouvertes.fr/hal-00644070 ; Traitement Automatique des Langues Naturelles, TALN, 2011, Montpellier, France. 125-130, short paper (2011)
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