Abstract
This paper details the development of a linguistic resource designed to improve temporal information extraction systems and to integrate aspectual values. After a brief review of recent works in temporal information extraction for the medical area, we discuss the linguistic notion of aspect and how it got a place in the NLP field. Then, we present our clinical data and describe the five-step approach adopted in this study. Finally, we represent the linguistic resource itself and explain how we elaborated it and which properties were selected for the creation of the tables.- Anthology ID:
- W19-1907
- Volume:
- Proceedings of the 2nd Clinical Natural Language Processing Workshop
- Month:
- June
- Year:
- 2019
- Address:
- Minneapolis, Minnesota, USA
- Editors:
- Anna Rumshisky, Kirk Roberts, Steven Bethard, Tristan Naumann
- Venue:
- ClinicalNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 55–64
- Language:
- URL:
- https://aclanthology.org/W19-1907
- DOI:
- 10.18653/v1/W19-1907
- Cite (ACL):
- Agathe Pierson and Cédrick Fairon. 2019. Study of lexical aspect in the French medical language. Development of a lexical resource. In Proceedings of the 2nd Clinical Natural Language Processing Workshop, pages 55–64, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
- Cite (Informal):
- Study of lexical aspect in the French medical language. Development of a lexical resource (Pierson & Fairon, ClinicalNLP 2019)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/W19-1907.pdf
- Data
- FrameNet