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User profile detection in health online fora
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In: International Congress of the European Federation for Medical Informatics ; https://hal.archives-ouvertes.fr/hal-01971156 ; International Congress of the European Federation for Medical Informatics, Adrien Ugon, Daniel Karlsson, Gunnar O. Klein, Anne Moen, Apr 2018, Gothenburg, Sweden (2018)
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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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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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Genetic algorithm-based tuning of the C-Value for term ranking
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In: International Conference on Stochastic Modeling Techniques and Data Analysis ; https://hal.archives-ouvertes.fr/hal-01972757 ; International Conference on Stochastic Modeling Techniques and Data Analysis, Jan 2014, Lisbonne, Portugal (2014)
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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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Abstract:
International audience ; We present work on tuning the Heideltime system for identifying time expressions in clinical texts in English and French languages. The main amount of the method is related to the enrichment and adaptation of linguistic resources to identify Timex3 clinical expressions and to normalize them. The test of the adapted versions have been done on the i2b2/VA 2012 corpus for English and a collection of clinical texts for French, which have been annotated for the purpose of this study. We achieve a 0.8500 F-measure on the recognition and normalization of temporal expressions in English, and up to 0.9431 in French. Future work will allow to improve and consolidate the results.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; Clinical texts; Natural Language Processing; time expression
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URL: https://hal.archives-ouvertes.fr/hal-01972761
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Reducing VSM data sparseness by generalizing contexts: application to health text mining
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In: International Workshop on Health Text Mining and Information Analysis ; https://hal.archives-ouvertes.fr/hal-01972762 ; 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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