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.- Anthology ID:
- R19-1026
- Volume:
- Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
- Month:
- September
- Year:
- 2019
- Address:
- Varna, Bulgaria
- Venue:
- RANLP
- SIG:
- Publisher:
- INCOMA Ltd.
- Note:
- Pages:
- 223–232
- Language:
- URL:
- https://aclanthology.org/R19-1026
- DOI:
- 10.26615/978-954-452-056-4_026
- Cite (ACL):
- Clément Dalloux, Vincent Claveau, and Natalia Grabar. 2019. Speculation and Negation detection in French biomedical corpora. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 223–232, Varna, Bulgaria. INCOMA Ltd..
- Cite (Informal):
- Speculation and Negation detection in French biomedical corpora (Dalloux et al., RANLP 2019)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/R19-1026.pdf