Table 1 Sample TREC COVID topic Search topics are tuples consisting of a query, a question, and a narrative, each sequentially more detailed.

From: COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization

Query coronavirus drug repurposing
Question which SARS-CoV-2 proteins–human proteins interactions indicate potential for drug targets. Are there approved drugs that can be re-purposed based on this information?
Narrative Seeking information about protein–protein interactions for any of the SARS-CoV-2 structural proteins that represent a promising therapeutic target, and the drug molecules that may inhibit the virus and the host cell receptors at entry step.
Example articles • Re-purposing approved drugs as inhibitors of SARS-CoV-2 S-protein from molecular modeling and virtual screening.
  • Drug repurposing using computational methods to identify therapeutic options for COVID-19.
  • Virtual screening, ADME/Tox predictions and the drug repurposing concept for future use of old drugs against the COVID-19.
Query coronavirus mental health impact
Question How has the COVID-19 pandemic impacted mental health?
Narrative Includes increasing/decreasing rates of depression, anxiety, panic disorder, and other psychiatric and mental health conditions.
Example articles • Early impacts of the COVID-19 pandemic on mental health care and on people with mental health conditions.
  • Impact on mental health care and on mental health service users of the COVID-19 pandemic.
  • Mental Health and the COVID19 Pandemic.
  1. Here we show two such topics, along with example articles which have been judged by experts as being relevant to the given topics.