{"created":"2025-01-19T00:47:04.796933+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00177526","sets":["581:8997:8999"]},"path":["8999"],"owner":"11","recid":"177526","title":["言語的・対話的特徴に着目したコールセンタ対話における話者の知識量推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-02-15"},"_buckets":{"deposit":"9422183f-04cd-4153-97b4-e19c65b3f19f"},"_deposit":{"id":"177526","pid":{"type":"depid","value":"177526","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"言語的・対話的特徴に着目したコールセンタ対話における話者の知識量推定","author_link":["376998","376996","376997","376992","376999","376995","376994","376993"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"言語的・対話的特徴に着目したコールセンタ対話における話者の知識量推定"},{"subitem_title":"Estimating Callers' Levels of Knowledge in Call Center Dialogues by Using Lexical and Dialogic Features","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[一般論文] 対話，コールセンタ，知識量","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2017-02-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"日本電信電話株式会社NTTメディアインテリジェンス研究所／現在，NTTコミュニケーションズ株式会社"},{"subitem_text_value":"日本電信電話株式会社NTTメディアインテリジェンス研究所"},{"subitem_text_value":"日本電信電話株式会社NTTメディアインテリジェンス研究所／現在，NTTソフトウェア株式会社"},{"subitem_text_value":"日本電信電話株式会社NTTメディアインテリジェンス研究所"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"NTT Media Intelligence Laboratories, Nippon Telegraph and Telephone Corporation / Presently with NTT Communications Corporation","subitem_text_language":"en"},{"subitem_text_value":"NTT Media Intelligence Laboratories, Nippon Telegraph and Telephone Corporation","subitem_text_language":"en"},{"subitem_text_value":"NTT Media Intelligence Laboratories, Nippon Telegraph and Telephone Corporation / Presently with NTT Software Corporation","subitem_text_language":"en"},{"subitem_text_value":"NTT Media Intelligence Laboratories, Nippon Telegraph and Telephone Corporation","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/177526/files/IPSJ-JNL5802041.pdf","label":"IPSJ-JNL5802041.pdf"},"date":[{"dateType":"Available","dateValue":"2019-02-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5802041.pdf","filesize":[{"value":"947.8 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":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"7faf2ac0-e8c8-4f36-9d01-e6543b5854f4","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"宮崎, 千明"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"東中, 竜一郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"牧野, 俊朗"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松尾, 義博"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Chiaki, Miyazaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ryuichiro, Higashinaka","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Toshiro, Makino","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yoshihiro, Matsuo","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"我々は，コールセンタに蓄えられた大量の対話データを，問合せを行う側の話者の知識量別に自動分類し，話者の知識量ごとの対話内容（起こりやすいトラブル，伝わりやすい説明の仕方など）を効率的に分析することを考えている．本研究では，話者の知識を反映すると考えられる多様な言語的・対話的特徴を列挙するとともに，教師あり機械学習を用いて知識の少ない話者（初心者）の対話を抽出する手法を提案する．また，評価実験を通して，提案手法によれば約0.8の適合率，0.5以上の再現率で知識の少ない話者（商品・サービスの初心者）の対話を抽出できることを示す．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In call centers, a massive amount of callers' dialogues have accumulated. To efficiently analyze dialogues featuring novice callers, we propose a method for automatically estimating a caller's level of knowledge. We focus on lexical and dialogic features and use a machine learning technique to learn a classifier that distinguishes knowledge levels. Experimental results show that our method achieves a precision of around 0.8 while retaining a moderate recall of over 0.5 in extracting the dialogues of novice callers.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"604","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"594","bibliographicIssueDates":{"bibliographicIssueDate":"2017-02-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"58"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":177526,"updated":"2025-01-20T05:27:24.277051+00:00","links":{}}