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CHQ- SocioEmo: Identifying Social and Emotional Support Needs in Consumer-Health Questions

Journal Article · · Scientific Data
 [1];  [2];  [3];  [4];  [5]
  1. King Khalid University, Abha (Saudi Arabia)
  2. University of Minnesota, Minneapolis, MN (United States)
  3. University of Illinois, Chicago, IL (United States)
  4. University of Maryland, College Park, MD (United States)
  5. National Institutes of Health (NIH), Bethesda, MD (United States)

General public, often called consumers, are increasingly seeking health information online. To be satisfactory, answers to health-related questions often have to go beyond informational needs. Automated approaches to consumer health question answering should be able to recognize the need for social and emotional support. Recently, large scale datasets have addressed the issue of medical question answering and highlighted the challenges associated with question classification from the standpoint of informational needs. However, there is a lack of annotated datasets for the non-informational needs. We introduce a new dataset for non-informational support needs, called CHQ-SocioEmo. The Dataset of Consumer Health Questions was collected from a community question answering forum and annotated with basic emotions and social support needs. This is the first publicly available resource for understanding non-informational support needs in consumer health-related questions online. We benchmark the corpus against multiple state-of-the-art classification models to demonstrate the dataset’s effectiveness.

Research Organization:
Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
SC0014664
OSTI ID:
2425611
Journal Information:
Scientific Data, Journal Name: Scientific Data Journal Issue: 1 Vol. 10; ISSN 2052-4463
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English

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