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2019 ACL ACL 2019

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

Abstract

AbstractCLaC 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.

🌉 Interdisciplinary Bridge — Deep Learning and Healthcare & Medicine and Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — health text mining
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Parsa Bagherzadeh , Nadia Sheikh , Sabine Bergler

Topics

Machine Learning > Core Methods > Representation Learning Deep Learning > Architectures > Neural Networks Natural Language Processing > Applications > Text Classification Deep Learning > Learning Types > Deep Learning Healthcare & Medicine > Clinical > Medical NLP

Keywords

text classification named entity recognition deep learning deep neural network word embedding adverse drug reaction health text mining adverse drug effect
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