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1
User profile detection in health online fora
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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2
Creation of a multilingual aligned corpus with Ukrainian as the target language and its exploitation
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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3
Unsupervised acquisition of morphological resources for Ukrainian
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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4
Understanding of unknown medical words
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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5
Generating and executing complex natural language queries across linked data
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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6
Genetic algorithm-based tuning of the C-Value for term ranking
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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7
Tuning HeidelTime for identifying time expressions in clinical texts in English and French
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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8
Reducing VSM data sparseness by generalizing contexts: application to health text mining
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)
Abstract: International audience ; Vector Space Models are limited with low frequency words due to few available contexts and data sparseness. To tackle this problem, we generalize contexts by integrating semantic relations acquired with linguistic approaches. We use three methods that acquire hypernymy relations on a EHR corpus. Context Generalization obtains the best results when performed with hypernyms, the quality of the relations being more important than the quantity.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; EHR corpus; hypernymy; Natural Language Processing; Specialized texts; Vector Space Models
URL: https://hal.archives-ouvertes.fr/hal-01972762
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9
Combining an expert-based medical entity recognizer to a machine-learning system: methods and a case-study
In: Biomedical Informatics Insights ; https://hal.archives-ouvertes.fr/hal-01972779 ; Biomedical Informatics Insights, 2013, 13p (2013)
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