{"id":180888,"updated":"2025-01-20T04:40:35.270361+00:00","links":{},"created":"2025-01-19T00:48:41.501201+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00180888","sets":["6504:9168:9182"]},"path":["9182"],"owner":"6748","recid":"180888","title":["傾聴対話システムにおける自分語りを含む多様な聞き手応答の生成"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-03-16"},"_buckets":{"deposit":"cf812ed5-3725-4361-b58e-e3381c2a72f9"},"_deposit":{"id":"180888","pid":{"type":"depid","value":"180888","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"傾聴対話システムにおける自分語りを含む多様な聞き手応答の生成","author_link":["391195","391196","391194","391192","391193"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"傾聴対話システムにおける自分語りを含む多様な聞き手応答の生成"}]},"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":"2017-03-16","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":"京大"},{"subitem_text_value":"京大"},{"subitem_text_value":"京大"},{"subitem_text_value":"京大"},{"subitem_text_value":"京大"}]},"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/180888/files/IPSJ-Z79-7M-02.pdf","label":"IPSJ-Z79-7M-02.pdf"},"date":[{"dateType":"Available","dateValue":"2017-05-22"}],"format":"application/pdf","filename":"IPSJ-Z79-7M-02.pdf","filesize":[{"value":"338.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"73698226-d5bf-4f9a-bb57-2e8b3c209dff","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"石田, 真也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"井上, 昂治"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中村, 静"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"高梨, 克也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"河原, 達也"}],"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":"本稿では，傾聴対話システムにおける多様な応答の種類の選択や内容について述べる．近年，人間がロボットやエージェントと対話する機会が増えており，その中でも人間と自然な雑談を行えるシステムの研究が盛んである．本研究では，より自然な傾聴対話システムを構築するため，音声状態のユーザの発話を入力として，それに対する「掘り下げ質問」，「繰り返し応答」，「語彙的応答」，「自分語り」，「評価応答」の全ての応答を生成し，そのうちから文脈や先行発話の特徴を基に，統計的に適切な応答を1つ選択し，出力するシステムを提案する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"240","bibliographic_titles":[{"bibliographic_title":"第79回全国大会講演論文集"}],"bibliographicPageStart":"239","bibliographicIssueDates":{"bibliographicIssueDate":"2017-03-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2017"}]},"relation_version_is_last":true,"weko_creator_id":"6748"}}