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A huge amount of knowledge is being produced along with the advance of scientific fields. Such expert knowledge is partly organized in domain databases, but a large portion of it is still kept in scholarly documents. It is time-consuming and cumbersome to construct domain databases and to conduct content-aware retrieval of scholarly documents. The Knowledge Acquisition Team aims at text/figure analysis and knowledge extraction from scholarly documents and also at development of infrastructure for content-aware retrieval of scholarly documents through domain database completion, knowledge organization, relation and summarization technologies.
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论文共 548 篇作者统计合作学者相似作者
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Natsumi Maeda,Akira Higashimori,Masami Nakatani, Ikki Yamamoto, Tsuyoshi Yanagida,Daiyu Kin,Yuji Matsumoto,Rieko Nakata,Atsushi Hashimoto,Akinari Sawada,Hirotsugu Maruyama, Junichi Okamoto,
Gastroenterologyno. 5 (2024): S-784
WACVpp.1124-1134, (2023)
Shizen gengo shorino. 2 (2023): 304-329
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Natsumi Maeda,Masami Nakatani, Tsuyoshi Yanagida, Ikki Yamamoto, Natsumi Maeda,Daiyu Kin,Yuji Matsumoto,Kenichi Morimoto,Eiji Sasaki,Takashi Fukuda,Tetsuo Arakawa,Yasuhiro Fujiwara
Gastroenterologyno. 6 (2023): S-978
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17TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EACL 2023pp.35-42, (2023)
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Journal of Natural Language Processingno. 2 (2022): 515-541
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International Conference on Computational Linguistics (2022): 4172-4185
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PLOS digital healthno. 12 (2022): e0000158-e0000158
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