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Communication Dans Un Congrès Année : 2016

LITL at CLEF eHealth2016: recognizing entities in French biomedical documents

Résumé

This paper describes the participation of master's students (LITL programme, university of Toulouse) and their teachers to the CLEF eHealth 2016 campaign. Two runs were submitted for task 2 (multilingual information extraction) which consisted in the recognition and categorization of medical entities in French biomedical documents. The system used consists of a CRF classier based on a number of dierent features (POS tagging, generic word lists and syntactic parsing). In addition , several patterns were used on the CRF's output in order to extract more complex entities. The best run achieved high precision (0.640.78) but lower recall (0.320.40), with an overall F1-measure of 0.430.53.
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Dates et versions

hal-01365928 , version 1 (13-09-2016)

Identifiants

  • HAL Id : hal-01365928 , version 1

Citer

Lydia-Mai Ho-Dac, Ludovic Tanguy, Céline Grauby, Aurore Heu Mby, Justine Malosse, et al.. LITL at CLEF eHealth2016: recognizing entities in French biomedical documents. CLEF eHealth 2016, Sep 2016, Évora, Portugal. ⟨hal-01365928⟩
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