{"id":47832,"updated":"2025-01-22T08:48:30.359810+00:00","links":{},"created":"2025-01-18T23:13:13.060196+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00047832","sets":["1164:4179:4187:4191"]},"path":["4191"],"owner":"1","recid":"47832","title":["階層構造におけるカテゴリの統合と類似文書抽出への適用"],"pubdate":{"attribute_name":"公開日","attribute_value":"2007-05-25"},"_buckets":{"deposit":"6dfe5a92-e1c5-431c-91b1-3a0d4aefb53f"},"_deposit":{"id":"47832","pid":{"type":"depid","value":"47832","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"階層構造におけるカテゴリの統合と類似文書抽出への適用","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"階層構造におけるカテゴリの統合と類似文書抽出への適用"},{"subitem_title":"Integrating Cross-Language Hierarchies and its Application to Relevant Document Extraction","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2007-05-25","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"山梨大学大学院医学工学総合研究部"},{"subitem_text_value":"山梨大学大学院医学工学総合研究部"},{"subitem_text_value":"山梨大学大学院医学工学総合研究部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi","subitem_text_language":"en"},{"subitem_text_value":"Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi","subitem_text_language":"en"},{"subitem_text_value":"Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi","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/47832/files/IPSJ-NL07179010.pdf"},"date":[{"dateType":"Available","dateValue":"2009-05-25"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-NL07179010.pdf","filesize":[{"value":"524.4 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":"9cc243f4-fa1c-4fa7-9fe0-fdca81fb5556","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2007 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"佐野, 司"},{"creatorName":"市岡, 健一"},{"creatorName":"福本, 文代"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Sano, Tsukasa","creatorNameLang":"en"},{"creatorName":"Ichioka, Kenichi","creatorNameLang":"en"},{"creatorName":"Fukumoto, Fumiyo","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":"本稿では  日英のカテゴリ階層構造に注目し  カテゴリ同士の類似性を推定し カテゴリを統合する手法を提案する. 本手法では一方の階層構造に分類されている文書を  他方の階層構造に分類することにより  異なる階層間におけるカテゴリ同士の類似性を推定する. 文書を分類するための手法として機械学習SVMsを用いた. また  類似性を求めるために  $\\chi2$statisticsを用いた. さらに  得られたカテゴリの組に対しアプリオリアルゴリズムを用いることで  類似したカテゴリ集合を抽出した. 統合したカテゴリの有効性を検証するため  類似文書の抽出を行った結果  適合率は 0.328であり階層構造を利用しない手法(0.088)と比較して精度の向上がみられた.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This paper presents a method for integrating cross-language category hierarchies, i.e. Reuters'96 and UDC code hierarchy of Japanese by estimating category similarities. First, we classify documents from one hierarchy into categories with another hierarchy using cross-language text classification technique, and extract category pairs of two hierarchies. Next, we apply X2 statistics to these pairs in order to obtain similar category pairs, and finally we apply the generating function of Apriori to the result of category pairs, and find sets of similar categories. Moreover, we examined whether or not integrating hierarchies helps to support retrieval of relevant documents. The retrieval result of 0.328 precision showed improvement over the baselines.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"60","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告自然言語処理（NL）"}],"bibliographicPageStart":"55","bibliographicIssueDates":{"bibliographicIssueDate":"2007-05-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"47(2007-NL-179)","bibliographicVolumeNumber":"2007"}]},"relation_version_is_last":true,"weko_creator_id":"1"}}