{"created":"2025-01-19T00:47:38.261541+00:00","updated":"2025-01-20T05:11:15.211352+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00178277","sets":["1164:3782:9095:9096"]},"path":["9096"],"owner":"11","recid":"178277","title":["A Structure-based Method for Mathematical Document Classification"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-03-03"},"_buckets":{"deposit":"bbd043d2-2108-4630-9d6f-d66c5e469309"},"_deposit":{"id":"178277","pid":{"type":"depid","value":"178277","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"A Structure-based Method for Mathematical Document Classification","author_link":["381257","381255","381254","381256"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A Structure-based Method for Mathematical Document Classification"},{"subitem_title":"A Structure-based Method for Mathematical Document Classification","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"検索関連技術","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2017-03-03","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Tokyo Institute of Technology"},{"subitem_text_value":"Tokyo Institute of Technology"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tokyo Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Institute of Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/178277/files/IPSJ-DC17104011.pdf","label":"IPSJ-DC17104011.pdf"},"date":[{"dateType":"Available","dateValue":"2019-03-03"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DC17104011.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":"32"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"bedcf172-609f-4499-93b1-f123de1affd7","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tokinori, Suzuki"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Atsushi, Fujii"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tokinori, Suzuki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Atsushi, Fujii","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10539261","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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8892","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Mathematical document classification (MDC) is a task to classify mathematical documents consisting of text and mathematical expressions (ME) to mathematical categories, e.g. probability theory and set theory. This task is an important task for supporting user search on recent wide-spreaded digital libraries and archiving services. Although ME could bring an important information as being in a central part of communication especially in math fields, how to utilize ME for MDC is not matured. In this paper, we propose the classification method based on texts combined with structures of ME, which are expected to reflect mathematical concepts and rules specific to a category. We demonstrate classification results that our proposed method outperforms existing method with state-of-the-art ME modeling on F-measure.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Mathematical document classification (MDC) is a task to classify mathematical documents consisting of text and mathematical expressions (ME) to mathematical categories, e.g. probability theory and set theory. This task is an important task for supporting user search on recent wide-spreaded digital libraries and archiving services. Although ME could bring an important information as being in a central part of communication especially in math fields, how to utilize ME for MDC is not matured. In this paper, we propose the classification method based on texts combined with structures of ME, which are expected to reflect mathematical concepts and rules specific to a category. We demonstrate classification results that our proposed method outperforms existing method with state-of-the-art ME modeling on F-measure.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告ドキュメントコミュニケーション（DC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2017-03-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"11","bibliographicVolumeNumber":"2017-DC-104"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":178277,"links":{}}