{"created":"2025-01-19T01:20:17.810959+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00220251","sets":["1164:4179:10952:11016"]},"path":["11016"],"owner":"44499","recid":"220251","title":["CrossWeighの日本語NERデータセットへの適用"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-09-22"},"_buckets":{"deposit":"c878007c-7689-425f-a92c-eea20db9a197"},"_deposit":{"id":"220251","pid":{"type":"depid","value":"220251","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"CrossWeighの日本語NERデータセットへの適用","author_link":["575650","575652","575649","575651"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"CrossWeighの日本語NERデータセットへの適用"},{"subitem_title":"Applying CrossWeigh to the Japanese NER Dataset","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"知識，メタデータ","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-09-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"茨城大学工学部情報工学科"},{"subitem_text_value":"茨城大学大学院理工学研究科情報科学領域"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Computer and Information Sciences, College of Engineering, Ibaraki University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Science and Engineering, Department of Computer and Information Sciences, Ibaraki 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/220251/files/IPSJ-NL22253021.pdf","label":"IPSJ-NL22253021.pdf"},"date":[{"dateType":"Available","dateValue":"2024-09-22"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-NL22253021.pdf","filesize":[{"value":"1.2 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":"23"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"a7bdb392-1a54-41a6-9b7d-c9b137c6f099","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"西村, 柾人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"新納, 浩幸"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Masato, Nishimura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroyuki, Shinnou","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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8779","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"通常，教師あり学習は訓練データには誤りがないという前提で学習が行われるが，実際には誤りを含む場合も多い．特に NER のデータセットはラベルの定義に曖昧なものがあり，複数の作業者でのタグ付けには誤りが生じやすい．このような背景から Wang らは誤ったラベルの付いたデータセットから NER のモデルを学習する CrossWeigh を提案した．本論文では CrossWeigh をストックマーク株式会社が提供している，Wikipedia の日本語 NER データセットに適用し，CrossWeigh の効果を確認する．同時に，このデータセット内の誤りの検出を試みる．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告自然言語処理（NL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-09-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"21","bibliographicVolumeNumber":"2022-NL-253"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":220251,"updated":"2025-01-19T14:37:53.867982+00:00","links":{}}