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Abstract
We participated in Task 1 of the Social Media Mining for Health Applications (SMM4H) 2019 Shared Tasks on detecting mentions of adverse drug events (ADEs) in tweets. Our approach relied on a text processing pipeline for tweets, and training traditional machine learning and deep learning models. Our submitted runs performed above average for the task.
Original document
The different versions of the original document can be found in:
- https://www.aclweb.org/anthology/W19-3217,
- https://academic.microsoft.com/#/detail/2972602516 under the license cc-by
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Published on 01/01/2019
Volume 2019, 2019
DOI: 10.18653/v1/w19-3217
Licence: Other
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