Cited By
View all- Jin QYuan ZXiong GYu QYing HTan CChen MHuang SLiu XYu S(2022)Biomedical Question Answering: A Survey of Approaches and ChallengesACM Computing Surveys10.1145/349023855:2(1-36)Online publication date: 18-Jan-2022
Natural language query processing for life science knowledge
Authors: 
Jin-Dong Kim, Yasunori Yamamoto, Atsuko Yamaguchi, Mitsuteru Nakao, Kenta Oouchida, Hong-Woo Chun, Toshihisa TakagiAuthors Info & Claims
Jin-Dong Kim, Yasunori Yamamoto, Atsuko Yamaguchi, Mitsuteru Nakao, Kenta Oouchida, Hong-Woo Chun, Toshihisa TakagiAuthors Info & ClaimsAbstract
As the progress of life science, human knowledge about life science keeps increased and diversified. To effectively access the diverse and complex knowledge base, people need to cope with complex representation of desired knowledge pieces. As a potential solution to the problem, we propose a natural language query processing system which can be used to build a human-friendly question-answering system. In this position paper, we present the background, an initial design, and a preliminary investigation of the natural language query processing.
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- Natural language query processing for life science knowledge
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- York University
- University of Regina
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Published: 28 August 2010
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View all- Jin QYuan ZXiong GYu QYing HTan CChen MHuang SLiu XYu S(2022)Biomedical Question Answering: A Survey of Approaches and ChallengesACM Computing Surveys10.1145/349023855:2(1-36)Online publication date: 18-Jan-2022