A Light-Weight Text Summarization System for Fast Access to Medical Evidence.

ABSTRACT: As the volume of published medical research continues to grow rapidly, staying up-to-date with the best-available research evidence regarding specific topics is becoming an increasingly challenging problem for medical experts and researchers. The current COVID19 pandemic is a good example of a topic on which research evidence is rapidly evolving. Automatic query-focused text summarization approaches may help researchers to swiftly review research evidence by presenting salient and query-relevant information from newly-published articles in a condensed manner. Typical medical text summarization approaches require domain knowledge, and the performances of such systems rely on resource-heavy medical domain-specific knowledge sources and pre-processing methods (e.g., text classification) for d

SUBMITTER: Sarker A 

PROVIDER: S-EPMC8521877 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature