{"updated":"2025-01-19T22:33:20.538396+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00196905","sets":["6504:9795:9801"]},"path":["9801"],"owner":"6748","recid":"196905","title":["質問タイプの分類に基づく用例なし質問に対する応答生成"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"_buckets":{"deposit":"0af7c5fa-0ed0-43c1-a1f0-60db56533957"},"_deposit":{"id":"196905","pid":{"type":"depid","value":"196905","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"質問タイプの分類に基づく用例なし質問に対する応答生成","author_link":["471828","471826","471829","471827","471825"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"質問タイプの分類に基づく用例なし質問に対する応答生成"}]},"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":"2019-02-28","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/196905/files/IPSJ-Z81-2T-05.pdf","label":"IPSJ-Z81-2T-05.pdf"},"date":[{"dateType":"Available","dateValue":"2019-05-28"}],"format":"application/pdf","filename":"IPSJ-Z81-2T-05.pdf","filesize":[{"value":"266.5 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"6b933eb9-8279-439f-8ef1-c05770cdad16","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"磯西, 爽太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田中, 滉己"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"井上, 昂治"}],"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":"対話システムが人間らしい対話を実現するためには，システム自身の趣味や嗜好といったプロファイル情報を設定することが有効といえる．プロファイルの一貫性を保つためには，想定質問とその応答の用例を用意しておく必要がある．しかし，用例がない質問がなされた場合，従来のシステムでは「お答えできません」などの画一的な応答を返してしまう．そこで，これらの質問を「個人情報」，「好み」，「習慣」などのタイプに分類し，それぞれに対応した応答を生成する．これにより，その質問をシステムが理解しているかのようにみせかける．実験では，自律型アンドロイドERICAを用いたお見合い対話コーパスにおいて提案システムの有効性を検証する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"360","bibliographic_titles":[{"bibliographic_title":"第81回全国大会講演論文集"}],"bibliographicPageStart":"359","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-19T01:01:24.091788+00:00","id":196905,"links":{}}