{"created":"2025-01-18T23:14:09.703059+00:00","updated":"2025-01-22T08:12:08.084721+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00049061","sets":["1164:4179:4264:4266"]},"path":["4266"],"owner":"1","recid":"49061","title":["出現密度分布を用いた語の重要説明箇所の特定"],"pubdate":{"attribute_name":"公開日","attribute_value":"1996-09-12"},"_buckets":{"deposit":"59479e40-0b69-4d88-8e70-643601407097"},"_deposit":{"id":"49061","pid":{"type":"depid","value":"49061","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"出現密度分布を用いた語の重要説明箇所の特定","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"出現密度分布を用いた語の重要説明箇所の特定"},{"subitem_title":"A Method for Detecting Important Descriptions of Word based on its Density Distribution in Text","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"1996-09-12","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京都大学大学院工学研究科電子通信工学専攻"},{"subitem_text_value":"京都大学大学院工学研究科電子通信工学専攻"},{"subitem_text_value":"京都大学大学院工学研究科電子通信工学専攻"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Electronics and Communication, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Department of Electronics and Communication, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Department of Electronics and Communication, 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/49061/files/IPSJ-NL96115007.pdf"},"date":[{"dateType":"Available","dateValue":"1998-09-12"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-NL96115007.pdf","filesize":[{"value":"624.8 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":"23"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"4cf9e2f8-2bcd-4f2d-96f3-9485229d56b3","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 1996 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"黒橋, 禎夫"},{"creatorName":"白木, 伸征"},{"creatorName":"長尾, 眞"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Sadao, Kurohashi","creatorNameLang":"en"},{"creatorName":"Nobuyuki, Shiraki","creatorNameLang":"en"},{"creatorName":"Makoto, Nagao","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10115061","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":"本論文では，テキスト中にある語が複数箇所出現する場合，その中からその語の重要な説明箇所を自動的に特定する方法を提案する．語に対して，重要な，あるいは関連性の高い説明をしようとすれば，必然的にその語を繰り返し用いる必要がある．そこで，語のテキスト中での出現密度分布を調べ，その高密度な出現位置を取り出すことによって，その語の重要説明箇所を特定することができる．密度計算には，ハニング窓関数を用いてある範囲の語の出現を重み付きで加算するという方法を用いる．新書20冊，180キーワードに対する評価実験によって本手法の有効性を具体的に示す．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper we propose a method for detecting important descriptions of a word in a text. Our method is based on the assumption that the most important description of a word in a text is the portion where the word occurs in highest density. The word's density is calculated by counting its occurrences in a certain range of the text with weights assigned by Hanning window function. We report experimental results to illustrate the effectiveness of our method.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"50","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告自然言語処理（NL）"}],"bibliographicPageStart":"43","bibliographicIssueDates":{"bibliographicIssueDate":"1996-09-12","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"87(1996-NL-115)","bibliographicVolumeNumber":"1996"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":49061,"links":{}}