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Terminologies augmented recurrent neural network model for clinical named entity recognition
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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)
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French Levothyrox® Crisis: Retrospective Analysis of Social Media
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In: International Society of Pharmacovigilance ; https://hal.archives-ouvertes.fr/hal-02411632 ; International Society of Pharmacovigilance, Springer International Publishing, Oct 2019, Bogota, Colombia (2019)
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WikiWars-UA : Ukrainian corpus annotated with temporal expressions
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In: Computational Linguistics and Intelligent Systems ; https://hal.archives-ouvertes.fr/hal-02371237 ; Computational Linguistics and Intelligent Systems, Apr 2019, Kharkiv, Ukraine (2019)
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Measuring Innovation in Speech and Language Processing Publications
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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)
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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.
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In: https://tel.archives-ouvertes.fr/tel-01613508 ; Computation and Language [cs.CL]. Université Paris Saclay (COmUE), 2017. English. ⟨NNT : 2017SACLS027⟩ (2017)
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Predicting Locations in Tweets
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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)
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Representation of complex terms in a vector space structured by an ontology for a normalization task
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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)
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A dataset for open event extraction in English
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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)
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LIMSI-COT at SemEval-2016 task 12: Temporal relation identification using a pipeline of classifiers
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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)
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Overview of the regulatory network of plant seed development (SeeDev) task at the BioNLP shared task 2016
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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)
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Event role extraction using domain-relevant word representations
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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)
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Combining an expert-based medical entity recognizer to a machine-learning system: methods and a case-study
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In: Biomedical Informatics Insights ; https://hal.archives-ouvertes.fr/hal-01972779 ; Biomedical Informatics Insights, 2013, 13p (2013)
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Finding answers to questions, in text collections or web, in open domain or specialty domains
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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)
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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.
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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
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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
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XTM: A Robust Temporal Text Processor
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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)
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How NLP Can Improve Question Answering
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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)
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