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  1. No Access

    Chapter and Conference Paper

    Data-Centric and Model-Centric Approaches for Biomedical Question Answering

    Biomedical question answering (BioQA) is the process of automated information extraction from the biomedical literature, and as the number of accessible biomedical papers is increasing rapidly, BioQA is attrac...

    Won** Yoon, Jaehyo Yoo, Sumin Seo in Experimental IR Meets Multilinguality, Mul… (2022)

  2. Article

    Open Access

    Building a PubMed knowledge graph

    PubMed® is an essential resource for the medical domain, but useful concepts are either difficult to extract or are ambiguous, which has significantly hindered knowledge discovery. To address this issue, we const...

    Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo Kang in Scientific Data (2020)

  3. Chapter and Conference Paper

    Pre-trained Language Model for Biomedical Question Answering

    The recent success of question answering systems is largely attributed to pre-trained language models. However, as language models are mostly pre-trained on general domain corpora such as Wikipedia, they often...

    Won** Yoon, **hyuk Lee, Donghyeon Kim in Machine Learning and Knowledge Discovery i… (2020)