{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00220246","sets":["1164:4179:10952:11016"]},"path":["11016"],"owner":"44499","recid":"220246","title":["オンライン会議での自動要約のためのマルチモーダル情報を考慮した重要発話抽出に関する検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-09-22"},"_buckets":{"deposit":"e05a6bb2-0a6f-4364-81dd-cd463a7cbb46"},"_deposit":{"id":"220246","pid":{"type":"depid","value":"220246","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"オンライン会議での自動要約のためのマルチモーダル情報を考慮した重要発話抽出に関する検討","author_link":["575630","575629","575627","575628","575631","575632"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"オンライン会議での自動要約のためのマルチモーダル情報を考慮した重要発話抽出に関する検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"談話構造,誤り訂正","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-09-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京セラ株式会社"},{"subitem_text_value":"京セラ株式会社"},{"subitem_text_value":"理化学研究所革新知能統合研究センター"},{"subitem_text_value":"理化学研究所革新知能統合研究センター"},{"subitem_text_value":"京セラ株式会社"},{"subitem_text_value":"京セラ株式会社"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"KYOCERA Corporation","subitem_text_language":"en"},{"subitem_text_value":"KYOCERA Corporation","subitem_text_language":"en"},{"subitem_text_value":"RIKEN Center for Advanced Intelligence Project","subitem_text_language":"en"},{"subitem_text_value":"RIKEN Center for Advanced Intelligence Project","subitem_text_language":"en"},{"subitem_text_value":"KYOCERA Corporation","subitem_text_language":"en"},{"subitem_text_value":"KYOCERA Corporation","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 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翔太朗"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"後藤, 啓介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西田, 典起"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松本, 裕治"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"荒川, 智哉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"廣島, 雅人"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10115061","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":"2188-8779","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年,ビデオ通話アプリの台頭により,会議を従来のようにオフラインで行うのではなくオンラインで行う機会が増加している.オンライン会議はオフライン会議と比較し,通信システムを介することで生じる視聴覚情報の制限や遅延により議論の流れを把握しづらいという課題がある.以前より画像や音声といったマルチモーダル情報を考慮した自動要約技術も研究が行われてきたが,それらは主にオフラインでの会議を考慮した研究であり,オフライン会議においても同様の結果が得られるとは言えない.そこで,本研究ではオンライン会議において得られるマルチモーダル情報を考慮した重要発話抽出手法を提案し,自動要約の精度向上によるオンライン会議の理解促進を目指す.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告自然言語処理(NL)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-09-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"16","bibliographicVolumeNumber":"2022-NL-253"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":220246,"updated":"2025-01-19T14:38:02.077115+00:00","links":{},"created":"2025-01-19T01:20:17.512555+00:00"}