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2018 EMNLP EMNLP 2018

CLaC at SMM4H Task 1, 2, and 4

Abstract

AbstractCLaC Labs participated in Tasks 1, 2, and 4 using the same base architecture for all tasks with various parameter variations. This was our first exploration of this data and the SMM4H Tasks, thus a unified system was useful to compare the behavior of our architecture over the different datasets and how they interact with different linguistic features.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Healthcare & Medicine and Natural Language Processing

Authors

Parsa Bagherzadeh, Nadia Sheikh, Sabine Bergler

Topics

Machine Learning > Core Methods > Classification Machine Learning > Application Areas > Domain Adaptation Natural Language Processing > Applications > Text Classification Healthcare & Medicine > Clinical > Medical AI Deep Learning > Learning Types > Deep Learning

Keywords

text classification linguistic feature social media mining health nlp neural network smm4h task base architecture parameter variation

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