{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00217666","sets":["934:1022:10776:10872"]},"path":["10872"],"owner":"44499","recid":"217666","title":["Construction of Japanese Imperial Diet Database Using Deep Neural Network"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-04-07"},"_buckets":{"deposit":"dd68c819-9c92-43b9-9d23-d654481b237a"},"_deposit":{"id":"217666","pid":{"type":"depid","value":"217666","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Construction of Japanese Imperial Diet Database Using Deep Neural Network","author_link":["564362","564361","564364","564363"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Construction of Japanese Imperial Diet Database Using Deep Neural Network"},{"subitem_title":"Construction of Japanese Imperial Diet Database Using Deep Neural Network","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[実例・実践論文] OCR, parliament minutes, deep neural network","subitem_subject_scheme":"Other"}]},"item_type_id":"3","publish_date":"2022-04-07","item_3_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Gakushuuin University"}]},"item_3_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Gakushuuin University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/217666/files/IPSJ-TOD1502004.pdf","label":"IPSJ-TOD1502004.pdf"},"date":[{"dateType":"Available","dateValue":"2024-04-07"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-TOD1502004.pdf","filesize":[{"value":"1.4 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"13"},{"tax":["include_tax"],"price":"0","billingrole":"39"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"b3f5a0c9-946f-405f-ac1f-2ee8f75d33b9","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_3_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Naoki, Nonaka"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Naoto, Nonaka"}],"nameIdentifiers":[{}]}]},"item_3_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Naoki, Nonaka","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Naoto, Nonaka","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_3_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11464847","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_3_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7799","subitem_source_identifier_type":"ISSN"}]},"item_3_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"In this work we construct a database of the Japanese Imperial Diet. The Imperial Diet was established in 1890 after the promulgation of the Constitution of the Empire of Japan and its historical analysis is crucial to understand the actual functioning of the Japanese Diet. Since the minutes of the Imperial Diet were publicly available only in image format, textization is an imperative process for further analysis. Following the recent advancement of the deep neural networks (DNNs), especially in the character recognition, we apply DNNs to construct a text database of the Imperial Diet. In the course of textization, we trained DNNs using multiple datasets while introducing a novel approach of applying separate batch normalization to datasets. The results of the tentative analysis show a significant potential to deepen our understanding of the development of parliamentary democracy in Japan.\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.30(2022) (online)\n------------------------------","subitem_description_type":"Other"}]},"item_3_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this work we construct a database of the Japanese Imperial Diet. The Imperial Diet was established in 1890 after the promulgation of the Constitution of the Empire of Japan and its historical analysis is crucial to understand the actual functioning of the Japanese Diet. Since the minutes of the Imperial Diet were publicly available only in image format, textization is an imperative process for further analysis. Following the recent advancement of the deep neural networks (DNNs), especially in the character recognition, we apply DNNs to construct a text database of the Imperial Diet. In the course of textization, we trained DNNs using multiple datasets while introducing a novel approach of applying separate batch normalization to datasets. The results of the tentative analysis show a significant potential to deepen our understanding of the development of parliamentary democracy in Japan.\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.30(2022) (online)\n------------------------------","subitem_description_type":"Other"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌データベース（TOD）"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2022-04-07","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"15"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":217666,"updated":"2025-01-19T15:24:57.930778+00:00","links":{},"created":"2025-01-19T01:18:08.872255+00:00"}