{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00056817","sets":["1164:5159:5168:5173"]},"path":["5173"],"owner":"1","recid":"56817","title":["文書検索型音声対話システムにおけるベイズリスクに基づく対話制御の最適化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2007-02-10"},"_buckets":{"deposit":"aeea8f17-0ea7-4d2e-9044-c497456a96f8"},"_deposit":{"id":"56817","pid":{"type":"depid","value":"56817","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"文書検索型音声対話システムにおけるベイズリスクに基づく対話制御の最適化","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"文書検索型音声対話システムにおけるベイズリスクに基づく対話制御の最適化"},{"subitem_title":"Bayes Risk-based Optimization of Dialog Management for Document Retrieval System with Speech Interface","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2007-02-10","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京都大学 情報学研究科 知能情報学専攻"},{"subitem_text_value":"京都大学 情報学研究科 知能情報学専攻"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"School of Informatics, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"School of Informatics, Kyoto University","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/56817/files/IPSJ-SLP07065010.pdf"},"date":[{"dateType":"Available","dateValue":"2009-02-10"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLP07065010.pdf","filesize":[{"value":"520.3 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"22"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"605e3aec-7a93-42e4-b3b9-1aef36c9fc05","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2007 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"翠, 輝久"},{"creatorName":"河原, 達也"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Teruhisa, MISU","creatorNameLang":"en"},{"creatorName":"Tatsuya, KAWAHARA","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10442647","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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"自然言語テキストで記述された文書を検索・提示する音声対話システムにおける効率的な対話制御手法を提案する。このようなシステムでは、音声認識結果の N-best 候補やコンテキスト情報を適切に利用することで、音声認識誤りや発話中の省略表現に対処できる可能性がある。また応答方法に関しても、確認の生成条件や情報の提示方法において、いくつかの選択肢が考えられる。本研究では、これらの生成可能な応答候補の中から最適なものを選択する過程を、情報提示の報酬と情報提示に直接関係しないターン数に基づくペナルティを用いて定義されるベイズリスクを最小化する枠組みとして定式化を行う。観光情報の検索・提示を行うシステム「京都版ダイアログナビ」において評価を行い、従来の単純な対話制御法と比較して、応答成功率と回答提示までに必要なターン数において大きな改善が得られた。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We propose an efficient dialogue management for an information navigation system based on a document knowledge base. It is expected that incorporation of appropriate N-best candidates of ASR and contextual information will improve the system performance. The system also has several choices in generating responses or confirmations. In this paper, this selection is optimized as minimization of Bayes risk based on reward for correct information presentation and penalty for redundant turns. We have evaluated this strategy with our spoken dialogue system “Speech Dialogue Navigator”, which also has question-answering capability. Effectiveness of the proposed framework was confirmed in the success rate of retrieval and the average number of turns for information access.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"54","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告音声言語情報処理（SLP）"}],"bibliographicPageStart":"49","bibliographicIssueDates":{"bibliographicIssueDate":"2007-02-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"11(2007-SLP-065)","bibliographicVolumeNumber":"2007"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"updated":"2025-01-22T04:47:51.737528+00:00","created":"2025-01-18T23:20:09.083796+00:00","id":56817}