@inproceedings{oai:ipsj.ixsq.nii.ac.jp:00208671,
 author = {白井, 圭佑 and 森, 信介 and 後藤, 真 and Keisuke, Shirai  Shinsuke Mori  Makoto Goto},
 book = {じんもんこん2020論文集},
 month = {Dec},
 note = {人名辞典など人文学に関わる辞書類からの知識抽出は，それらを用いて人文学研究の為の基盤を構築することが可能になるという点で意義がある．一方で，人手による抽出作業は場合によっては高コストになりえる．そこで，本研究では機械学習手法を用いた自動抽出器の構築を試みる．, Extracting knowledge from dictionaries like biographical ones is beneficial as they enable us to build a foundation for digital humanities research. However, knowledge extraction from dictionaries by human effort can be costly on large-scale dictionaries. To alleviate this, we developed a method for automatic knowledge extraction and tested it on a biographical dictionary. In this paper we describe the method and report experimental results.},
 pages = {11--16},
 publisher = {情報処理学会},
 title = {人名辞典からの知識抽出},
 volume = {2020},
 year = {2020}
}