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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 15 of 15 1 Terminologies augmented recurrent neural network model for clinical named entity recognition Lerner, Ivan; Paris, Nicolas; Tannier, Xavier In: ISSN: 1532-0464 ; EISSN: 1532-0480 ; Journal of Biomedical Informatics ; https://hal.archives-ouvertes.fr/hal-02428771 ; Journal of Biomedical Informatics, Elsevier, 2020, 102, pp.103356. ⟨10.1016/j.jbi.2019.103356⟩ (2020) BASE Show details 2 French Levothyrox® Crisis: Retrospective Analysis of Social Media Audeh, Bissan; Grouin, Cyril; Zweigenbaum, Pierre... In: International Society of Pharmacovigilance ; https://hal.archives-ouvertes.fr/hal-02411632 ; International Society of Pharmacovigilance, Springer International Publishing, Oct 2019, Bogota, Colombia (2019) BASE Show details 3 WikiWars-UA : Ukrainian corpus annotated with temporal expressions Grabar, Natalia; Hamon, Thierry In: Computational Linguistics and Intelligent Systems ; https://hal.archives-ouvertes.fr/hal-02371237 ; Computational Linguistics and Intelligent Systems, Apr 2019, Kharkiv, Ukraine (2019) BASE Show details 4 Measuring Innovation in Speech and Language Processing Publications Mariani, Joseph,; Francopoulo, Gil; Paroubek, Patrick In: International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01840694 ; International Conference on Language Resources and Evaluation, European Language Resources Association (ELRA), May 2018, Miyazaki, Japan (2018) BASE Show details 5 Information Extraction for the Seed Development Regulatory Networks of Arabidopsis Thaliana. ; Extraction d’Information pour les réseaux de régulation de la graine chez Arabidopsis Thaliana. Valsamou, Dialekti. - : HAL CCSD, 2017 In: https://tel.archives-ouvertes.fr/tel-01613508 ; Computation and Language [cs.CL]. Université Paris Saclay (COmUE), 2017. English. ⟨NNT : 2017SACLS027⟩ (2017) BASE Show details 6 Predicting Locations in Tweets Hoang, Thi Bich Ngoc; Moriceau, Véronique; Mothe, Josiane In: CINCLing 2017 : 18th International Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02624131 ; CINCLing 2017 : 18th International Conference on Intelligent Text Processing and Computational Linguistics, Apr 2017, Budapest, Hungary (2017) BASE Show details 7 Representation of complex terms in a vector space structured by an ontology for a normalization task Ferré, Arnaud; Zweigenbaum, Pierre; Nédellec, Claire In: BioNLP 2017 ; BioNLP 2017 Workshop, Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01582292 ; BioNLP 2017 Workshop, Association for Computational Linguistics, Aug 2017, Vancouver, Canada. ⟨10.18653/v1/W17-2312⟩ ; http://aclweb.org/anthology/W17-2312 (2017) BASE Show details 8 A dataset for open event extraction in English Nguyen, K.-H.; Tannier, X.; Ferret, Olivier... In: 10th International Conference on Language Resources and Evaluation, LREC 2016 ; https://hal-cea.archives-ouvertes.fr/cea-01843179 ; 10th International Conference on Language Resources and Evaluation, LREC 2016, May 2016, Portoroz, Slovenia. pp.1939-1943 (2016) BASE Show details 9 LIMSI-COT at SemEval-2016 task 12: Temporal relation identification using a pipeline of classifiers Tourille, J.; Névéol, Aurélie; Ferret, Olivier... In: 10th International Workshop on Semantic Evaluation, SemEval 2016 ; https://hal-cea.archives-ouvertes.fr/cea-01843187 ; 10th International Workshop on Semantic Evaluation, SemEval 2016, Jun 2016, San Diego, United States. pp.1136-1142 (2016) BASE Show details 10 Overview of the regulatory network of plant seed development (SeeDev) task at the BioNLP shared task 2016 Chaix, Estelle; Dubreucq, Bertrand; Fatihi, Abdelhak... In: Proceedings of the 4th BioNLP Shared Task Workshop ; BioNLP Shared Task ; https://hal.archives-ouvertes.fr/hal-01455854 ; BioNLP Shared Task, Aug 2016, Berlin, Germany. pp.113 ; https://www.aclweb.org/anthology/W/W16/W16-3001.pdf (2016) BASE Show details 11 Event role extraction using domain-relevant word representations Boroş, E.; Besançon, R.; Ferret, Olivier... In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) ; https://hal-cea.archives-ouvertes.fr/cea-01844443 ; Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), Oct 2014, Doha, Qatar. pp.1852-1857 (2014) BASE Show details 12 Combining an expert-based medical entity recognizer to a machine-learning system: methods and a case-study Zweigenbaum, Pierre; Lavergne, Thomas; Grabar, Natalia... In: Biomedical Informatics Insights ; https://hal.archives-ouvertes.fr/hal-01972779 ; Biomedical Informatics Insights, 2013, 13p (2013) BASE Show details 13 Finding answers to questions, in text collections or web, in open domain or specialty domains Grau, Brigitte In: Next Generation Search Engines: Advanced Models for Information Retrieval ; https://hal.archives-ouvertes.fr/hal-02289728 ; Jouis, Christophe AND Biskri, Ismail AND Ganascia, Jean-Gabriel AND Roux, Magali. Next Generation Search Engines: Advanced Models for Information Retrieval, IGI Global, pp.344--370, 2012 (2012) Abstract: International audience ; This chapter is dedicated to factual question answering, i.e. extracting precise and exact answers to question given in natural language from texts. A question in natural language gives more information than a bag of word query (i.e. a query made of a list of words), and provides clues for finding precise answers. We will first focus on the presentation of the underlying problems mainly due to the existence of linguistic variations between questions and their answerable pieces of texts for selecting relevant passages and extracting reliable answers. We will first present how to answer factual question in open domain. We will also present answering questions in specialty domain as it requires dealing with semi-structured knowledge and specialized terminologies, and can lead to different applications, as information management in corporations for example. Searching answers on the Web constitutes another application frame and introduces specificities linked to Web redundancy or collaborative usage. Besides, the Web is also multilingual, and a challenging problem consists in searching answers in target language documents other than the source language of the question. For all these topics, we present main approaches and the remaining problems. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; Fine-grained information retrieval; information extraction; named entity recognition; passage retrieval; Question-answering systems; syntactic and semantic matching URL: https://hal.archives-ouvertes.fr/hal-02289728 https://hal.archives-ouvertes.fr/hal-02289728/file/chapterGrau-igi.pdf https://hal.archives-ouvertes.fr/hal-02289728/document BASE Hide details 14 XTM: A Robust Temporal Text Processor Hagège, Caroline; Tannier, Xavier In: Computational Linguistics and Intelligent Text Processing, proceedings of 9th International Conference CICLing 2008 ; CICLing ; https://hal.archives-ouvertes.fr/hal-00260124 ; CICLing, 2008, Haïfa, Israel. pp.231-240 (2008) BASE Show details 15 How NLP Can Improve Question Answering Ferret, Olivier; Grau, Brigitte; Hurault-Plantet, Martine... In: ISSN: 0943-7444 ; Knowledge Organization ; https://hal.archives-ouvertes.fr/hal-00442219 ; Knowledge Organization, Ergon Verlag, 2002, 29 (3-4), pp.135--155 (2002) BASE Show details

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