{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00158121","sets":["581:8417:8420"]},"path":["8420"],"owner":"11","recid":"158121","title":["フローグラフからの手順書の生成"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-03-15"},"_buckets":{"deposit":"82c04aa0-216f-44ef-9cd3-0db609804ee1"},"_deposit":{"id":"158121","pid":{"type":"depid","value":"158121","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"フローグラフからの手順書の生成","author_link":["301183","301168","301170","301172","301171","301173","301176","301178","301179","301182","301180","301175","301181","301177","301169","301174"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"フローグラフからの手順書の生成"},{"subitem_title":"Procedual Text Generation from a Flow Graph","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集：学生・若手研究者論文] 自然言語生成，手順書，テンプレート","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2016-03-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京都大学大学院情報学研究科"},{"subitem_text_value":"奈良先端科学技術大学院大学情報科学研究科"},{"subitem_text_value":"サイボウズ株式会社"},{"subitem_text_value":"京都大学学術情報メディアセンター"},{"subitem_text_value":"京都大学大学院教育学研究科"},{"subitem_text_value":"奈良先端科学技術大学院大学情報科学研究科"},{"subitem_text_value":"東京大学大学院情報理工学系研究科"},{"subitem_text_value":"京都大学学術情報メディアセンター"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Informatics, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science, Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Cybozu, Inc.","subitem_text_language":"en"},{"subitem_text_value":"Academic Center for Computing and Media Studies, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Education, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science, Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Science and Technology, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Academic Center for Computing and Media Studies, Kyoto University","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/158121/files/IPSJ-JNL5703010.pdf","label":"IPSJ-JNL5703010.pdf"},"date":[{"dateType":"Available","dateValue":"2018-03-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5703010.pdf","filesize":[{"value":"1.1 MB"}],"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":"0138f67f-91ff-4777-b1b8-2b3e310f712a","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山崎, 健史"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"吉野, 幸一郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"前田, 浩邦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"笹田, 鉄郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"橋本, 敦史"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"舩冨, 卓哉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山肩, 洋子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"森, 信介"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takeshi, Yamasaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Koichiro, Yoshino","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hirokuni, Maeta","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tetsuro, Sasada","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Atsushi, Hashimoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takuya, Funatomi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yoko, Yamakata","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shinsuke, Mori","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":"コンピュータから人間へ情報を伝達するためには，コンピュータが処理しやすい表現を，人間に理解しやすい自然言語文に変換する技術が重要である．本研究では，構造化された情報であるフローグラフから自然言語文を自動生成する手法を提案する．手順書のドメインとしてレシピを扱う．まず，実際の手順書に対して重要語とその種類を表すラベルを自動認識し，固有表現に置き換えることで，統計的なテンプレートの自動生成を行う．次に，フローグラフを1つの動作を含む最小手順部分グラフに分割する．最後に，最小手順部分グラフに最もマッチするテンプレートを選択して文生成を行う．テンプレート選択の指標として，負対数確率，内容語残存コスト，エントロピーを用いる．実験では，正解として用意されたフローグラフを表現する自然言語文章と生成された文章を比較評価した．具体的にはBLEU値による自動評価と主観評価を行い，提案手法が精度向上に寄与し，BLEUが人手による主観評価と相関があることを確認した．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Algorithms that convert a computational representation to human-readable natural language sentences are essential for communications. In this paper, we propose a method that automatically generates natural language sentences from a structured flow graph. We demonstrate this method in the domain of cooking recipes. Firstly, we automatically generate templates from real recipe texts by recognizing keywords and their type label, and replacing the words with named entity labels. Secondly, we divide the flow graph into minimum procedural subgraphs, each of which has one action. Finally, we select the most suitable template for each subgraph. When selecting a template, we use three measures: a negative logarithmic probability, a remaining content word cost, and a sentence entropy. In the experiments we generate recipe texts from flow graphs and evaluated them through both an objective metric BLEU and a subjective evaluation by human examines. The results showed that our method improves both metrics and BLEU is correlated to the subjective metrics.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"862","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"849","bibliographicIssueDates":{"bibliographicIssueDate":"2016-03-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"57"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":158121,"updated":"2025-01-20T13:05:46.699653+00:00","links":{},"created":"2025-01-19T00:31:53.664123+00:00"}