BioADAPT-MRC: adversarial learning-based domain adaptation improves biomedical machine reading comprehension task.

ABSTRACT:

Motivation

Biomedical machine reading comprehension (biomedical-MRC) aims to comprehend complex biomedical narratives and assist healthcare professionals in retrieving information from them. The high performance of modern neural network-based MRC systems depends on high-quality, large-scale, human-annotated training datasets. In the biomedical domain, a crucial challenge in creating such datasets is the requirement for domain knowledge, inducing the scarcity of labeled data and the need for transfer learning from the labeled general-purpose (source) domain to the biomedical (target) domain. However, there is a discrepancy in marginal distributions between the general-purpose and biomedical domains due to the variances in topics. Therefore, direct-transferring of learned representat

SUBMITTER: Mahbub M 

PROVIDER: S-EPMC9477526 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature