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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 – 5 of 5 1 The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding. Neuraz, Antoine; Rance, Bastien; Garcelon, Nicolas; Llanos, Leonardo Campillos; Burgun, Anita; Rosset, Sophie In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal.inria.fr/hal-03476839 ; Studies in Health Technology and Informatics, IOS Press, 2020, 270, pp.432-436. ⟨10.3233/SHTI200197⟩ (2020) Abstract: International audience ; Recent studies in the biomedical domain suggest that learning statistical word representations (static or contextualized word embeddings) on large corpora of specialized data improve the results on downstream natural language processing (NLP) tasks. In this paper, we explore the impact of the data source of word representations on a natural language understanding task. We compared embeddings learned with Fasttext (static embedding) and ELMo (contextualized embedding) representations, learned either on the general domain (Wikipedia) or on specialized data (electronic health records, EHR). The best results were obtained with ELMo representations learned on EHR data for the two sub-tasks (+7% and +4% of gain in F1-score). Moreover, ELMo representations were trained with only a fraction of the data used for Fasttext. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Contextual word embeddings; MESH: Electronic Health Records; MESH: Information Storage and Retrieval; MESH: Language; MESH: Natural Language Processing; MESH: Unified Medical Language System; Natural Language processing; Natural language understanding URL: https://hal.inria.fr/hal-03476839 https://doi.org/10.3233/SHTI200197 BASE Hide details 2 HPV circulating tumoral DNA quantification by droplet-based digital PCR: a promising predictive and prognostic biomarker for HPV-associated oropharyngeal cancers. Veyer, David; Wack, Maxime; Mandavit, Marion... In: ISSN: 0020-7136 ; EISSN: 1097-0215 ; International Journal of Cancer ; https://www.hal.inserm.fr/inserm-02299250 ; International Journal of Cancer, Wiley, 2019, 15 (147), pp.1222-1227. ⟨10.1002/ijc.32804⟩ (2019) BASE Show details 3 iExplore: Interactive Browsing and Exploring Biomedical Knowledge Nguyen, Vinh; Bodenreider, Olivier; Srinivasan, Jagannathan... In: Amit P. Sheth (2014) BASE Show details 4 iExplore: Interactive Browsing and Exploring Biomedical Knowledge Nguyen, Vinh; Bodenreider, Olivier; Srinivasan, Jagannathan... In: Krishnaprasad Thirunarayan (2014) BASE Show details 5 iExplore: Interactive Browsing and Exploring Biomedical Knowledge Nguyen, Vinh; Bodenreider, Olivier; Srinivasan, Jagannathan... In: Kno.e.sis Publications (2012) BASE Show details

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