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- research-articleApril 2024
KI-MAG: A knowledge-infused abstractive question answering system in medical domain
AbstractAbstractive question-answering (QA) has emerged as a prominent area in Natural Language Processing (NLP) due to its ability to produce concise and human-like responses, particularly with the advancement of Large Language Models. Despite its ...
- research-articleJanuary 2024
KIMedQA: towards building knowledge-enhanced medical QA models
Journal of Intelligent Information Systems (JIIS), Volume 62, Issue 3Pages 833–858https://doi.org/10.1007/s10844-024-00844-1AbstractMedical question-answering systems require the ability to extract accurate, concise, and comprehensive answers. They will better comprehend the complex text and produce helpful answers if they can reason on the explicit constraints described in ...