{"created":"2025-01-18T23:29:15.793004+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00069918","sets":["1164:5159:6009:6133"]},"path":["6133"],"owner":"10","recid":"69918","title":["Webからの情報抽出を用いた音声対話システム"],"pubdate":{"attribute_name":"公開日","attribute_value":"2010-07-15"},"_buckets":{"deposit":"97a1b40d-7667-4bd4-86dc-5e6c9da3d478"},"_deposit":{"id":"69918","pid":{"type":"depid","value":"69918","revision_id":0},"owners":[10],"status":"published","created_by":10},"item_title":"Webからの情報抽出を用いた音声対話システム","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Webからの情報抽出を用いた音声対話システム"},{"subitem_title":"Spoken Dialogue System based on Information Extraction from Web Text","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"音声対話システム","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2010-07-15","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"},{"subitem_text_value":"京都大学情報学研究科"}]},"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/69918/files/IPSJ-SLP10082020.pdf"},"date":[{"dateType":"Available","dateValue":"2012-07-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLP10082020.pdf","filesize":[{"value":"386.5 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":"9391c965-5e93-44a7-80a0-9041a8851506","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2010 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"吉野, 幸一郎"},{"creatorName":"河原, 達也"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Koichiro, Yoshino","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":"本研究では、日々更新される Web テキストに対して、述語項構造に着目した情報抽出を行い、その内容を扱う対話システムについて述べる。本対話システムは、述語項構造により抽出された情報に基づいて、対話の履歴とトピックモデルを利用しながら、ユーザの質問に対応する情報を答える質問応答と、ユーザの要求・興味に沿った情報をプロアクティブに提示する情報推薦を行う。本稿ではこのようなシステムの実現可能性を示すため、プロ野球のニュース記事というドメインに限定してシステムを構築し、その評価を行った。また、こうした対話の枠組みを実現するために、対話のドメインごとに有用な述語項構造パターンをコーパスから教師なしで自動抽出する手法を提案し、その評価を行った。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper, we present a novel scheme of spoken dialogue systems which uses the up-to-date information on the web. The scheme is based on information extraction which is defined by the predicate-argument (P-A) structure and realized by shallow parsing. Based on the information structure, the dialogue system can perform question answering and also proactive information presentation using the dialogue context and a topic model. Feasibility of this scheme is demonstrated with experiments using a domain of baseball news. In order to automatically select useful domain-dependent P-A structures, information-theoretic criteria are introduced, resulting to a completely unsupervised learning of the information structure given a corpus.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告音声言語情報処理（SLP）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2010-07-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"20","bibliographicVolumeNumber":"2010-SLP-82"}]},"relation_version_is_last":true,"weko_creator_id":"10"},"id":69918,"updated":"2025-01-21T23:43:21.628555+00:00","links":{}}