ViMQ: A Vietnamese Medical Question Dataset for Healthcare Dialogue System Development

• URL: http://arxiv.org/abs/2304.14405v1
• Date: Thu, 27 Apr 2023 17:59:53 GMT
• Title: ViMQ: A Vietnamese Medical Question Dataset for Healthcare Dialogue System Development
• Authors: Ta Duc Huy, Nguyen Anh Tu, Tran Hoang Vu, Nguyen Phuc Minh, Nguyen Phan, Trung H. Bui, Steven Q. H. Truong
• Abstract summary: We publish a Vietnamese dataset of medical questions from patients with sentence-level and entity-level annotations. We propose a simple self-supervised training strategy with span-noise modelling that improves the performance.
• Score: 1.4315915057750197
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Existing medical text datasets usually take the form of ques- tion and answer pairs that support the task of natural language gener- ation, but lacking the composite annotations of the medical terms. In this study, we publish a Vietnamese dataset of medical questions from patients with sentence-level and entity-level annotations for the Intent Classification and Named Entity Recognition tasks. The tag sets for two tasks are in medical domain and can facilitate the development of task- oriented healthcare chatbots with better comprehension of queries from patients. We train baseline models for the two tasks and propose a simple self-supervised training strategy with span-noise modelling that substan- tially improves the performance. Dataset and code will be published at https://github.com/tadeephuy/ViMQ

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