Biomedical Machine Reading Comprehension

Biomedical machine reading comprehension (BioMRC) focuses on enabling computers to understand and answer questions about complex biomedical texts, aiding researchers and clinicians in information retrieval. Current research emphasizes leveraging large language models (LLMs) and exploring techniques like data augmentation (e.g., word substitution) and adversarial domain adaptation to overcome the limitations of scarce annotated biomedical data. These advancements aim to improve the accuracy and efficiency of information extraction from biomedical literature, ultimately accelerating scientific discovery and improving healthcare practices.