{"created":"2025-01-19T00:23:26.830034+00:00","updated":"2025-01-20T17:14:53.963944+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00148461","sets":["8512:8648:8649:8521:8523"]},"path":["8523"],"owner":"1","recid":"148461","title":["E-055 Annotating Semantic Structure of Web Text based on CDL.nl"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-08-20"},"_buckets":{"deposit":"0638537b-cb0f-44a0-abec-6b8a3c69cddd"},"_deposit":{"id":"148461","pid":{"type":"depid","value":"148461","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"E-055 Annotating Semantic Structure of Web Text based on CDL.nl","author_link":["240590","240586","240584","240588","240587","240585","240591","240589"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"E-055 Annotating Semantic Structure of Web Text based on CDL.nl","subitem_title_language":"en"}]},"item_type_id":"26","publish_date":"2008-08-20","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_26_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東大"},{"subitem_text_value":"東大"},{"subitem_text_value":"東大"},{"subitem_text_value":"東京工科大"}]},"item_26_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Tokyo University of Technology","subitem_text_language":"en"}]},"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/148461/files/KJ00006439210.pdf"},"date":[{"dateType":"Available","dateValue":"2008-08-20"}],"format":"application/pdf","filename":"KJ00006439210.pdf","filesize":[{"value":"224.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"274c83fd-f9c2-46bb-93c0-fe76ce52453b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2008 by IEICE,IPSJ"}]},"item_26_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"イェン, ユイラン"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松尾, 豊"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"石塚, 満"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"横井, 俊夫"}],"nameIdentifiers":[{}]}]},"item_26_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yan, Yulan","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Matsuo, Yutaka","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ishizuka, Mitsuru","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yokoi, Toshio","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_26_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA1242354X","subitem_source_identifier_type":"NCID"}]},"item_26_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Confronting the challenges of annotating naturally occurring text into a semantically structured form to facilitate automatic information extraction, based on the Concept Description Language for Natural Language (CDL.nl) which is intended to describe the concept structure of text using a set of pre-defined semantic relations, we develop a parser to add a new layer of semantic annotation of natural language sentences as an extension of SRL (Semantic Role Labeling). The parsing task is a relation extraction process with two steps: relation detection and relation classification. We advance a hybrid approach using different methods for two steps: first, based on dependency analysis, a rule-based method is presented to detect all entity pairs between each pair for which there exists a relationship; secondly, we use a feature-based method to assign a CDL.nl relation to each detected entity pair using Support Vector Machine. We report the preliminary experimental results carried out on our manual dataset annotated with CDL.nl relations.","subitem_description_type":"Other"}]},"item_26_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"266","bibliographic_titles":[{"bibliographic_title":"情報科学技術フォーラム講演論文集"}],"bibliographicPageStart":"265","bibliographicIssueDates":{"bibliographicIssueDate":"2008-08-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"7"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":148461,"links":{}}