  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.
