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
Venues:
ACL | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
123–126
Language:
URL:
https://www.aclweb.org/anthology/W19-3222
DOI:
10.18653/v1/W19-3222
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-3222.pdf