{"created":"2025-01-19T01:46:17.273135+00:00","updated":"2025-01-19T07:36:38.812481+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00241592","sets":["1164:4179:11560:11869"]},"path":["11869"],"owner":"44499","recid":"241592","title":["大規模言語モデルを活用したテクニカルライティングに基づく文章修正手法の開発"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-12-05"},"_buckets":{"deposit":"5feb8cdb-3006-431b-9796-d074d859b272"},"_deposit":{"id":"241592","pid":{"type":"depid","value":"241592","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"大規模言語モデルを活用したテクニカルライティングに基づく文章修正手法の開発","author_link":["665399","665401","665403","665400","665402"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"大規模言語モデルを活用したテクニカルライティングに基づく文章修正手法の開発"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"LLM応用","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-12-05","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"北海道大学大学院情報科学院"},{"subitem_text_value":"北海道大学大学院情報科学研究院"},{"subitem_text_value":"北海道大学大学院情報科学研究院"},{"subitem_text_value":"北海道大学大学院情報科学研究院"},{"subitem_text_value":"YAMAGATA株式会社"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate 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を導入している．本研究の評価のために作成したテストデータを用いて，複数の大規模言語モデルに対してライティングルールの準拠・非準拠の判定タスクを適用して，適切な判定ができることを確認した．また，マニュアル作成に関する専門家および非専門家による評価において，本手法でライティングルールに基づく文章修正ができることを確認した．本手法をマニュアル作成の実務で活用することで，利用者が理解しやすいマニュアル作成の効率化が期待できる．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告自然言語処理（NL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-12-05","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"17","bibliographicVolumeNumber":"2024-NL-262"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":241592,"links":{}}