{"created":"2025-01-19T01:11:50.175825+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00210625","sets":["1164:4402:10541:10543"]},"path":["10543"],"owner":"44499","recid":"210625","title":["自動ファシリテーションエージェントのためのGated Attention Networkを用いたノード分類"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-22"},"_buckets":{"deposit":"cc181df5-021b-45ad-baaf-f72f391382c4"},"_deposit":{"id":"210625","pid":{"type":"depid","value":"210625","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"自動ファシリテーションエージェントのためのGated Attention Networkを用いたノード分類","author_link":["533668","533666","533669","533665","533664","533667"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"自動ファシリテーションエージェントのためのGated Attention Networkを用いたノード分類"},{"subitem_title":"Node Classification Using Gated Attention Network for Automated Facilitation Agent","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2021-03-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"京都大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Kyoto Uniersity","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/210625/files/IPSJ-ICS21202001.pdf","label":"IPSJ-ICS21202001.pdf"},"date":[{"dateType":"Available","dateValue":"2023-03-22"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ICS21202001.pdf","filesize":[{"value":"1.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"25"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"caede5b4-9785-4ea8-a7d4-e4b2d510ccc2","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"酒井, 敦也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"ファム, ユイ"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鈴木, 祥太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐藤, 拓実"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"川村, 直輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 孝行"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11135936","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-885X","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，Web 上での大規模議論が注目を集めている．そのような中，大規模オンライン合意形成支援システムの研究が盛んに行われている．大規模な議論では意見が数百，数千と投稿され，一日中議論が開かれていることもあるため人間がファシリテータの役割を担うことは困難である．自動ファシリテーションエージェントの開発のため，議論をグラフ構造として抽出する先行研究が存在するが，本研究は議論構造抽出のタスクの一つであるノード分類を高精度で行うことを目的とする．提案する手法には，Bidirectional Encoder Representations from Transformers (BERT), Gated Attention Network (GaAN) を用い，議論構造には Issue-Based Information System (IBIS) 構造を採用する．実験の結果，先行研究や他の一般的な分類手法よりも高い精度で意見を分類できることを示すことができた．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告知能システム（ICS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021-ICS-202"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":210625,"updated":"2025-01-19T18:05:21.947447+00:00","links":{}}