Adverse Drug Effect and Personalized Health Mentions, CLaC at SMM4H 2019, Tasks 1 and 4

Parsa Bagherzadeh, Nadia Sheikh, Sabine Bergler


Abstract
CLaC labs participated in Task 1 and 4 of SMM4H 2019. We pursed two main objectives in our submission. First we tried to use some textual features in a deep net framework, and second, the potential use of more than one word embedding was tested. The results seem positively affected by the proposed architectures.
Anthology ID:
W19-3222
Volume:
Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task
Month:
August
Year:
2019
Address:
Florence, Italy
Editors:
Davy Weissenbacher, Graciela Gonzalez-Hernandez
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
123–126
Language:
URL:
https://aclanthology.org/W19-3222
DOI:
10.18653/v1/W19-3222
Bibkey:
Cite (ACL):
Parsa Bagherzadeh, Nadia Sheikh, and Sabine Bergler. 2019. Adverse Drug Effect and Personalized Health Mentions, CLaC at SMM4H 2019, Tasks 1 and 4. In Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, pages 123–126, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Adverse Drug Effect and Personalized Health Mentions, CLaC at SMM4H 2019, Tasks 1 and 4 (Bagherzadeh et al., ACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-3222.pdf
Data
SMM4H