Study of lexical aspect in the French medical language. Development of a lexical resource

Agathe Pierson, Cédrick Fairon


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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/W19-1907.pdf
Data
FrameNet