{"created":"2025-01-19T01:29:47.932842+00:00","updated":"2025-01-19T11:15:12.115194+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230189","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230189","title":["ユーザの発話を取り込むペルソナ対話エージェントの対話性能評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"1baa5874-aabe-44f4-a151-52a01bb46325"},"_deposit":{"id":"230189","pid":{"type":"depid","value":"230189","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ユーザの発話を取り込むペルソナ対話エージェントの対話性能評価","author_link":["619304","619306","619305"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ユーザの発話を取り込むペルソナ対話エージェントの対話性能評価"}]},"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":"2023-02-16","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":"名工大"},{"subitem_text_value":"名工大"},{"subitem_text_value":"名工大"}]},"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/230189/files/IPSJ-Z85-2W-07.pdf","label":"IPSJ-Z85-2W-07.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-2W-07.pdf","filesize":[{"value":"354.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"01d49a0c-5bce-4219-85d9-8a719199af18","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"近藤, 一希"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐久間, 拓人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"加藤, 昇平"}],"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":"近年,自然言語処理技術の発達により,情報検索のためのタスク対話だけでなく,ストレス緩和や娯楽などの観点から非タスク会話(雑談)が可能な対話エージェントの需要が高まっている.しかし,既存のチャットモデルは長期の対話に一貫性を持たないことや,各エージェントが個性を持たず画一的であることが問題である.本研究では,ペルソナチャットデータセットを用いて学習した対話エージェントに,対話の中で自身のみならずユーザの発話文からペルソナを抽出させることで,ユーザにとって親しみやすい個性を獲得させる.同時に,ペルソナ数増加による語彙力の向上も図る.対話性能評価として,語彙力と一貫性の評価及び感性評価を実施する.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"808","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"807","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230189,"links":{}}