{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00188524","sets":["6504:9465:9481"]},"path":["9481"],"owner":"6748","recid":"188524","title":["医学生物学文献からの数値情報抽出における教師データ削減の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-03-13"},"_buckets":{"deposit":"a90d5263-4345-42c1-a289-e4b2d9a9d19c"},"_deposit":{"id":"188524","pid":{"type":"depid","value":"188524","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"医学生物学文献からの数値情報抽出における教師データ削減の検討","author_link":["427765","427766","427763","427764","427767"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"医学生物学文献からの数値情報抽出における教師データ削減の検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2018-03-13","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"日立"},{"subitem_text_value":"日立"},{"subitem_text_value":"日立"},{"subitem_text_value":"第一三共RDノバーレ株式会社"},{"subitem_text_value":"第一三共RDノバーレ株式会社"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/188524/files/IPSJ-Z80-7B-04.pdf","label":"IPSJ-Z80-7B-04.pdf"},"date":[{"dateType":"Available","dateValue":"2018-05-07"}],"format":"application/pdf","filename":"IPSJ-Z80-7B-04.pdf","filesize":[{"value":"244.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"3808b771-bec6-450e-a1e3-8c047bea3535","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"大瀧, 洋子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"木戸, 邦彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"加藤, 千昭"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"久保田, 一石"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"安松, 勲"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"医学生物学文献に記載されている数値情報は、定量的かつ客観的な情報であるため情報としての価値が高い。数値と属性名の対で表現される数値情報を、機械学習によって高精度で抽出する技術の開発を目的とし、従来の課題であった教師データ収集コストの削減手法について検討を加えた。本研究では、「化合物と標的タンパク質の活性予測に関係する数値情報」の収集を対象とし、能動学習によって効果的に教師データを選択する手法を用いることによる教師データの削減効果を評価した。数値情報の抽出精度F値を80%に保つ条件のもとで、教師データの収集件数を従来よりも84.0%削減することができた。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"第80回全国大会講演論文集"}],"bibliographicPageStart":"7","bibliographicIssueDates":{"bibliographicIssueDate":"2018-03-13","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2018"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-19T00:54:39.769600+00:00","updated":"2025-01-20T01:56:38.373728+00:00","id":188524}