Ellendorff, Tilia; Cornelius, Joseph; Gordon, Heath; Colic, Nicola; Rinaldi, Fabio (2018). UZH@SMM4H: System Descriptions. In: SMM4H: The 3rd Social Media Mining for Health Applications Workshop and Shared Task, Brussels, 30 November 2018. Association for Computational Linguistics, 56-60.
Our team at the University of Zurich participated in the first 3 of the 4 sub-tasks at the Social Media Mining for Health Applications (SMM4H) shared task. We experimented with different approaches for text classification, namely traditional feature-based classifiers (Logistic Regression and Support Vector Machines), shallow neural networks, RCNNs, and CNNs. This system description paper provides details regarding the different system architectures and the achieved results.
Our team at the University of Zurich participated in the first 3 of the 4 sub-tasks at the Social Media Mining for Health Applications (SMM4H) shared task. We experimented with different approaches for text classification, namely traditional feature-based classifiers (Logistic Regression and Support Vector Machines), shallow neural networks, RCNNs, and CNNs. This system description paper provides details regarding the different system architectures and the achieved results.
| Item Type: | Conference or Workshop Item (Paper), refereed, original work |
|---|---|
| Communities & Collections: | 06 Faculty of Arts > Institute of Computational Linguistics |
| Dewey Decimal Classification: | 000 Computer science, knowledge & systems
410 Linguistics |
| Language: | English |
| Event End Date: | 30 November 2018 |
| Deposited On: | 15 Feb 2019 15:33 |
| Last Modified: | 25 Mar 2021 15:11 |
| Publisher: | Association for Computational Linguistics |
| OA Status: | Green |
| Free access at: | Official URL. An embargo period may apply. |
| Official URL: | http://aclweb.org/anthology/W18-5916 |
Ellendorff, Tilia