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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 – 6 of 6 1 Creation of a multilingual aligned corpus with Ukrainian as the target language and its exploitation Grabar, Natalia; Hamon, Thierry In: Computational Linguistics and Intelligent Systems ; https://hal.archives-ouvertes.fr/hal-01736363 ; Computational Linguistics and Intelligent Systems, Apr 2017, Kharkiv, Ukraine (2017) BASE Show details 2 Unsupervised acquisition of morphological resources for Ukrainian Hamon, Thierry; Grabar, Natalia In: Computational Linguistics and Intelligent Systems ; https://hal.archives-ouvertes.fr/hal-01736400 ; Computational Linguistics and Intelligent Systems, Apr 2017, Kharkiv, Ukraine (2017) BASE Show details 3 Understanding of unknown medical words Grabar, Natalia; Hamon, Thierry 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) Abstract: International audience ; We assume that unknown words with internal structure (affixed words or compounds) can provide speakers with linguistic cues as for their meaning, and thus help their decoding and understanding. To verify this hypothesis, we propose to work with a set of French medical words. These words are annotated by five annotators. Then, two kinds of analysis are performed: analysis of the evolution of understandable and non-understandable words (globally and according to some suffixes) and anal-ysis of clusters created with unsupervised algorithms on basis of linguistic and extra-linguistic features of the studied words. Our results suggest that, according to linguistic sensitivity of annotators, technical words can be decoded and become understandable. As for the clusters, some ofthem distinguish between understandable and non-understandable words. Resources built in this work will be made freely available for the research purposes. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; Literacy; Medical terms; Natural Language Processing URL: https://hal.archives-ouvertes.fr/hal-01736408 BASE Hide details 4 Generating and executing complex natural language queries across linked data Hamon, Thierry; Mougin, Fleur; Grabar, Natalia In: International Congress on Medical Informatics ; https://hal.archives-ouvertes.fr/hal-01971222 ; International Congress on Medical Informatics, Jan 2015, Sao Paulo, Brazil (2015) BASE Show details 5 Tuning HeidelTime for identifying time expressions in clinical texts in English and French Hamon, Thierry; Grabar, Natalia 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) BASE Show details 6 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

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