{"created":"2021-03-01T06:16:56.720009+00:00","id":405,"links":{},"metadata":{"_buckets":{"deposit":"7986be5c-a976-4d52-a2e8-4b40685a0cb2"},"_deposit":{"id":"405","owners":[],"pid":{"revision_id":0,"type":"depid","value":"405"},"status":"published"},"_oai":{"id":"oai:repository.dl.itc.u-tokyo.ac.jp:00000405","sets":["34:105:106","9:10:15"]},"item_2_alternative_title_1":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Automatic Slide Generation Based on Discourse Structure Analysis"}]},"item_2_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2006-07","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicPageEnd":"112","bibliographicPageStart":"91","bibliographicVolumeNumber":"13","bibliographic_titles":[{"bibliographic_title":"自然言語処理"}]}]},"item_2_description_13":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_2_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"本稿では,テキストから要約スライドを自動生成する手法を提案する.本稿で生成するスライドは,入力テキストから抽出したテキストの箇条書きからなる.それらに適切なインデントを与えるには,対比関係や詳細化関係などといった文または節間の関係を解析する必要がある.本手法では,まず,接続詞などの手がかり表現,語連鎖の検出,二文間の類似度の三つの観点を用いてテキストの談話構造を解析する.そして,テキストから主題部･非主題部を抽出･整形し,抽出したテキストのインデントを談話構造に基づいて決定することにより,スライドを生成する.実験を行なったところ,入力テキストよりもかなり見やすいスライドを自動生成できることが確認された.","subitem_description_type":"Abstract"},{"subitem_description":"In this paper, we describe a method for automatically generating summary slides from a text. The slide consists of itemizations of extracted texts, and to determine their indentation, we need to analyze relations between sentences/clauses, such as contrast and elaboration. We first analyze the discourse structure of the text by considering three types of information: cue phrases, identification of word chain and similarity between two sentences. Then, we extract topic/non-topic parts from the text and generate the slide by placing the extracted texts, whose indentations are controlled according to the discourse structure. Our experiments demonstrate that generated slides are far easier to read in comparison with original texts.","subitem_description_type":"Abstract"}]},"item_2_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"106301","nameIdentifierScheme":"WEKO"}],"names":[{"name":"SHIBATA, TOMOHIDE"}]},{"nameIdentifiers":[{"nameIdentifier":"106302","nameIdentifierScheme":"WEKO"}],"names":[{"name":"KUROHASHI, SADAO"}]}]},"item_2_publisher_20":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"言語処理学会"}]},"item_2_source_id_10":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10472659","subitem_source_identifier_type":"NCID"}]},"item_2_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"13407619","subitem_source_identifier_type":"ISSN"}]},"item_2_subject_15":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"007","subitem_subject_scheme":"NDC"}]},"item_2_text_21":{"attribute_name":"出版者別名","attribute_value_mlt":[{"subitem_text_value":"The Association for Natural Language Processing"}]},"item_2_text_4":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学大学院情報理工学系研究科"},{"subitem_text_value":"京都大学大学院情報学研究科"},{"subitem_text_value":"Graduate School of Information Science and Technology, The University of Tokyo"},{"subitem_text_value":"Graduate School of Informatics, Kyoto University"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"柴田, 知秀"}],"nameIdentifiers":[{"nameIdentifier":"106299","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"黒橋, 禎夫"}],"nameIdentifiers":[{"nameIdentifier":"106300","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-06-26"}],"displaytype":"detail","filename":"v13n3_05.pdf","filesize":[{"value":"1.5 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"v13n3_05.pdf","url":"https://repository.dl.itc.u-tokyo.ac.jp/record/405/files/v13n3_05.pdf"},"version_id":"1229beea-523f-42ba-80ff-d7b9d35815c8"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"談話構造解析","subitem_subject_scheme":"Other"},{"subitem_subject":"主題抽出","subitem_subject_scheme":"Other"},{"subitem_subject":"文簡約","subitem_subject_scheme":"Other"},{"subitem_subject":"自動プレゼンテーション","subitem_subject_scheme":"Other"},{"subitem_subject":"discourse structure analysis","subitem_subject_scheme":"Other"},{"subitem_subject":"topic extraction","subitem_subject_scheme":"Other"},{"subitem_subject":"sentence reduction","subitem_subject_scheme":"Other"},{"subitem_subject":"automatic presentation","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"談話構造解析に基づくスライドの自動生成","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"談話構造解析に基づくスライドの自動生成"}]},"item_type_id":"2","owner":"1","path":["15","106"],"pubdate":{"attribute_name":"公開日","attribute_value":"2009-12-08"},"publish_date":"2009-12-08","publish_status":"0","recid":"405","relation_version_is_last":true,"title":["談話構造解析に基づくスライドの自動生成"],"weko_creator_id":"1","weko_shared_id":null},"updated":"2022-12-19T03:41:15.047159+00:00"}