Speculation and negation detection in french biomedical corpora

Abstract : In this work, we propose to address the detection of negation and speculation, and of their scope, in French biomedical documents. It has been indeed observed that they play an important role and provide crucial clues for other NLP applications. Our methods are based on CRFs and BiLSTM. We reach up to 97.21 % and 91.30 % F-measure for the detection of negation and speculation cues, respectively , using CRFs. For the computing of scope, we reach up to 90.81 % and 86.73 % F-measure on negation and speculation , respectively, using BiLSTM-CRF fed with word embeddings.
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Submitted on : Wednesday, September 11, 2019 - 5:54:57 PM
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Clément Dalloux, Vincent Claveau, Natalia Grabar. Speculation and negation detection in french biomedical corpora. RANLP 2019 - Recent Advances in Natural Language Processing, Sep 2019, Varna, Bulgaria. pp.1-10. ⟨hal-02284444⟩

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