"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit
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Abstract (arXiv)
During the ongoing COVID-19 crisis, subreddits on Reddit, such as r/Coronavirus saw a rapid growth in user's requests for help (support seekers - SSs) including individuals with varying professions and experiences with diverse perspectives on care (support providers - SPs). Currently, knowledgeable human moderators match an SS with a user with relevant experience, i.e, an SP on these subreddits. This unscalable process defers timely care. We present a medical knowledge-infused approach to efficient matching of SS and SPs validated by experts for the users affected by anxiety and depression, in the context of with COVID-19. After matching, each SP to an SS labeled as either supportive, informative, or similar (sharing experiences) using the principles of natural language inference. Evaluation by 21 domain experts indicates the efficacy of incorporated knowledge and shows the efficacy the matching system.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 May 2021.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 3.
7 papers.
- 2021Knowledge-intensive Language Understanding for Explainable AIcited by 25
- 2022A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Frameworkcited by 8
- 2022KSAT: Knowledge-infused Self Attention Transformer -- Integrating Multiple Domain-Specific Contextscited by 5
- 2023Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Casecited by 4
- 2023Knowledge-Infused Self Attention Transformerscited by 3
- 2023IERL: Interpretable Ensemble Representation Learning -- Combining CrowdSourced Knowledge and Distributed Semantic Representationscited by 3
- 2021A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networkscited by 0
- 2023IERL: Interpretable Ensemble Representation Learning -- Combining CrowdSourced Knowledge and Distributed Semantic Representations24 Jun 2023
- 2023Knowledge-Infused Self Attention Transformers23 Jun 2023
- 2023Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case31 Mar 2023
- 2022KSAT: Knowledge-infused Self Attention Transformer -- Integrating Multiple Domain-Specific Contexts9 Oct 2022
- 2022A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework22 Mar 2022
- 2021Knowledge-intensive Language Understanding for Explainable AI2 Aug 2021
- 2021A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks21 Jul 2021