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Automatic simplification of technical and specialized texts ; Simplification automatique de textes techniques et spécialisés
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In: https://hal.archives-ouvertes.fr/tel-03343769 ; Informatique et langage [cs.CL]. Université de Lille, 2021. Français. ⟨NNT : 2021LILUH007⟩ (2021)
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Automatic text simplification of specialized and technical texts ; Simplification automatique de textes techniques et spécialisés
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In: https://hal.archives-ouvertes.fr/tel-03343769 ; Informatique et langage [cs.CL]. Université de Lille, 2021. Français (2021)
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Fine-grained text simplification in French: steps towards a better grammaticality
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In: ISHIMR Proceedings of the 18th International Symposium on Health Information Management Research ; https://hal.archives-ouvertes.fr/hal-03095247 ; ISHIMR Proceedings of the 18th International Symposium on Health Information Management Research, Sep 2020, Kalmar, Sweden. ⟨10.15626/ishimr.2020.xxx⟩ (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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Detection and analysis of drug non-adherence in social media ; Détection et analyse de la non-adhérence médicamenteuse dans les réseaux sociaux
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In: https://tel.archives-ouvertes.fr/tel-02478927 ; Linguistique. Université de Lille, 2019. Français. ⟨NNT : 2019LILUH026⟩ (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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Abstract:
International audience ; Textual corpora are extremely important for various NLP applications as they provide information necessary for creating, setting and testing these applications and the corresponding tools. They are also crucial for designing reliable methods and reproducible results. Yet, in some areas, such as the medical area, due to confidentiality or to ethical reasons, it is complicated and even impossible to access textual data representative of those produced in these areas. We propose the CAS corpus built with clinical cases, such as they are reported in the published scientific literature in French. We describe this corpus, currently containing over 397,000 word occurrences, and the existing linguistic and semantic annotations.
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Keyword:
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing
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URL: https://hal.archives-ouvertes.fr/hal-01937096
https://hal.archives-ouvertes.fr/hal-01937096/file/corpus_Louhi_2018.pdf
https://hal.archives-ouvertes.fr/hal-01937096/document
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Creation of a multilingual aligned corpus with Ukrainian as the target language and its exploitation
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In: Computational Linguistics and Intelligent Systems ; https://hal.archives-ouvertes.fr/hal-01736363 ; Computational Linguistics and Intelligent Systems, Apr 2017, Kharkiv, Ukraine (2017)
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Unsupervised acquisition of morphological resources for Ukrainian
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In: Computational Linguistics and Intelligent Systems ; https://hal.archives-ouvertes.fr/hal-01736400 ; Computational Linguistics and Intelligent Systems, Apr 2017, Kharkiv, Ukraine (2017)
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Understanding of unknown medical words
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In: Biomedical NLP Workshop associated with RANLP 2017 ; https://hal.archives-ouvertes.fr/hal-01736408 ; Biomedical NLP Workshop associated with RANLP 2017, Sep 2017, Varna, Bulgaria (2017)
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Querying biomedical Linked Data with natural language questions
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In: ISSN: 1570-0844 ; EISSN: 2210-4968 ; Semantic Web – Interoperability, Usability, Applicability ; https://hal.archives-ouvertes.fr/hal-01426686 ; Semantic Web – Interoperability, Usability, Applicability, IOS Press, 2017, 8, pp.581-599. ⟨10.3233/SW-160244⟩ (2017)
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Generating and executing complex natural language queries across linked data
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In: International Congress on Medical Informatics ; https://hal.archives-ouvertes.fr/hal-01971222 ; International Congress on Medical Informatics, Jan 2015, Sao Paulo, Brazil (2015)
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Tuning HeidelTime for identifying time expressions in clinical texts in English and French
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In: International Workshop on Health Text Mining and Information Analysis ; https://hal.archives-ouvertes.fr/hal-01972761 ; International Workshop on Health Text Mining and Information Analysis, Jan 2014, Gothenburg, Sweden (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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Problèmes et méthodes pour l´analyse d´énoncés en LSF
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In: Actes du colloque TALN ; https://halshs.archives-ouvertes.fr/halshs-00151638 ; Actes du colloque TALN, 2005, vol. 2, pp.361-365 (2005)
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