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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 – 3 of 3 1 CAS: corpus of clinical cases in French Grabar, Natalia; Dalloux, Clément; Claveau, Vincent 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) BASE Show details 2 Speculation and negation detection in french biomedical corpora Dalloux, Clément; Claveau, Vincent; Grabar, Natalia 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) BASE Show details 3 CAS: French Corpus with Clinical Cases Grabar, Natalia; Claveau, Vincent; Dalloux, Clément 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) 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. 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 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 BASE Hide details

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