CHQ-Summ: A Dataset for Consumer Healthcare Question Summarization

• URL: http://arxiv.org/abs/2206.06581v2
• Date: Wed, 15 Jun 2022 16:07:12 GMT
• Title: CHQ-Summ: A Dataset for Consumer Healthcare Question Summarization
• Authors: Shweta Yadav, Deepak Gupta, and Dina Demner-Fushman
• Abstract summary: We introduce a new dataset, CHQ-Summ, that contains 1507 domain-expert annotated consumer health questions and corresponding summaries. The dataset is derived from the community question-answering forum. We benchmark the dataset on multiple state-of-the-art summarization models to show the effectiveness of the dataset.
• Score: 21.331145794496774
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: The quest for seeking health information has swamped the web with consumers' health-related questions. Generally, consumers use overly descriptive and peripheral information to express their medical condition or other healthcare needs, contributing to the challenges of natural language understanding. One way to address this challenge is to summarize the questions and distill the key information of the original question. To address this issue, we introduce a new dataset, CHQ-Summ that contains 1507 domain-expert annotated consumer health questions and corresponding summaries. The dataset is derived from the community question-answering forum and therefore provides a valuable resource for understanding consumer health-related posts on social media. We benchmark the dataset on multiple state-of-the-art summarization models to show the effectiveness of the dataset.

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