Multi-task Learning for Personal Health Mention Detection on Social Media

• URL: http://arxiv.org/abs/2212.05147v1
• Date: Fri, 9 Dec 2022 23:49:00 GMT
• Title: Multi-task Learning for Personal Health Mention Detection on Social Media
• Authors: Olanrewaju Tahir Aduragba, Jialin Yu and Alexandra I. Cristea
• Abstract summary: This research employs a multitask learning framework to leverage available annotated data to improve the performance on the main task. We focus on incorporating emotional information into our target task by using emotion detection as an auxiliary task.
• Score: 70.23889100356091
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Detecting personal health mentions on social media is essential to complement existing health surveillance systems. However, annotating data for detecting health mentions at a large scale is a challenging task. This research employs a multitask learning framework to leverage available annotated data from a related task to improve the performance on the main task to detect personal health experiences mentioned in social media texts. Specifically, we focus on incorporating emotional information into our target task by using emotion detection as an auxiliary task. Our approach significantly improves a wide range of personal health mention detection tasks compared to a strong state-of-the-art baseline.

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