{"updated":"2025-01-19T09:13:01.069415+00:00","links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236547","sets":["6504:11678:11688"]},"path":["11688"],"owner":"44499","recid":"236547","title":["自然言語処理におけるデータ拡張の強度とモデル性能の関係"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"d58cd4ef-19ca-4046-bf63-f44d7bb10196"},"_deposit":{"id":"236547","pid":{"type":"depid","value":"236547","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"自然言語処理におけるデータ拡張の強度とモデル性能の関係","author_link":["646689","646688"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"自然言語処理におけるデータ拡張の強度とモデル性能の関係"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ネットワーク","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京大"},{"subitem_text_value":"三重大"}]},"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/236547/files/IPSJ-Z86-7ZC-06.pdf","label":"IPSJ-Z86-7ZC-06.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-04"}],"format":"application/pdf","filename":"IPSJ-Z86-7ZC-06.pdf","filesize":[{"value":"169.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"dbf436c4-bc28-4230-9791-20d1bd0c17bd","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"和田, 翔熙"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"森本, 尚之"}],"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_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"データ拡張はデータ収集が困難である場合などに、データの数を増やすことでモデルの汎化性能の向上に寄与することが知られている。データ拡張戦略の設計は、「手法の組み合わせ」「拡張操作を実行する確率」「拡張強度」の最適化によって行われる。本研究では、自然言語処理におけるデータ拡張強度の指標として「忠実さ」「多様さ」「自然さ」を利用する手法を提案する。自然言語処理においても、画像処理と同様に「強い拡張」「弱い拡張」を利用することでモデルの性能を向上させられると考えられる。実験により、自然言語処理におけるデータ拡張の強度とモデル性能の関係について評価した。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"470","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"469","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236547,"created":"2025-01-19T01:38:39.373902+00:00"}