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Communication Dans Un Congrès Année : 2011

Feature selection for drug-drug interaction detection using machine-learning based approaches

Résumé

This paper describes the systems developed for the DDI Extraction challenge. The systems use machine learning methods and are based on SVM by using LIBSVM and SVMPerf tools. Classical features and corpus-specific features are selected according to their F-score. The best system obtained an F-measure of 0.5965.
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Dates et versions

hal-02289969 , version 1 (17-09-2019)

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  • HAL Id : hal-02289969 , version 1

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Anne-Lyse Minard, Lamia Makour, Anne-Laure Ligozat, Brigitte Grau. Feature selection for drug-drug interaction detection using machine-learning based approaches. Challenge Task on Drug-Drug Interaction Extraction (DDI), SEPLN, Sep 2011, Huelva, Spain. pp.43--50. ⟨hal-02289969⟩
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