{"created":"2025-10-16T00:14:07.189227+00:00","id":2001368,"links":{},"metadata":{"_buckets":{"deposit":"fd52e6c4-1d18-40d8-acdc-6cc75cfeaaa0"},"_deposit":{"created_by":16,"id":"2001368","owner":"16","owners":[16],"pid":{"revision_id":0,"type":"depid","value":"2001368"},"status":"published"},"_oai":{"id":"oai:doshisha.repo.nii.ac.jp:02001368","sets":["4251:8138:8139:8140:1760573358657","8:3372:3847:1760573263574"]},"author_link":[],"control_number":"2001368","item_1693811493084":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_1694490770713":{"attribute_name":"権利者情報","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"DA18202107","nameIdentifierScheme":"AID","nameIdentifierURI":"https://ci.nii.ac.jp/author/DA18202107"}],"rightHolderNames":[{"rightHolderLanguage":"ja","rightHolderName":"同志社大学ハリス理化学研究所"},{"rightHolderLanguage":"en","rightHolderName":"Harris Science Research Institute of Doshisha University"}]}]},"item_1695605350696":{"attribute_name":"助成情報","attribute_value_mlt":[{"subitem_award_numbers":{"subitem_award_number":"JPMJSP2129","subitem_award_number_type":"JGN","subitem_award_uri":"https://rd.doshisha.ac.jp/rd/inside/wakate/sprig/spring.html"},"subitem_award_titles":[{"subitem_award_title":"言語モデルにおける情報検索手法の知識変容に対する頑健性の評価指標の構築","subitem_award_title_language":"ja"}],"subitem_funder_identifiers":{"subitem_funder_identifier":"https://doi.org/10.13039/501100002241","subitem_funder_identifier_type":"Crossref Funder"},"subitem_funder_names":[{"subitem_funder_name":"科学技術振興機構","subitem_funder_name_language":"ja"},{"subitem_funder_name":"Japan Science and Technology Agency","subitem_funder_name_language":"en"}],"subitem_funding_stream_identifiers":{"subitem_funding_stream_identifier_type":"Crossref Funder","subitem_funding_stream_identifier_type_uri":"https://doi.org/10.13039/501100025019"},"subitem_funding_streams":[{"subitem_funding_stream":"次世代研究者挑戦的研究プログラム","subitem_funding_stream_language":"ja"},{"subitem_funding_stream":"Support for Pioneering Research Initiated by the Next Generation (SPRING)","subitem_funding_stream_language":"en"}]}]},"item_1_biblio_info_14":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2025-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicPageEnd":"182","bibliographicPageStart":"175","bibliographicVolumeNumber":"66","bibliographic_titles":[{"bibliographic_title":"同志社大学ハリス理化学研究報告","bibliographic_titleLang":"ja"},{"bibliographic_title":"The Harris science review of Doshisha University","bibliographic_titleLang":"en"}]}]},"item_1_description_12":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"近年，文書検索は言語モデルが外部情報を参照するための手段として更に注目されている．本研究では，日本語テキスト埋め込み手法を用いた検索アプローチの有効性を分析した．既存ベンチマークに含まれる検索クエリと文書をモデル知識の有無で分類した．その結果，知識を持たない場合に取得精度が低下した．この分析に基づき，既存手法による文書検索の利点と課題を検討し，実世界の問題との乖離を踏まえた今後の方向性を示す．","subitem_description_language":"ja","subitem_description_type":"Abstract"},{"subitem_description":"Retrieval tasks are increasingly recognized as an effective means for language models to reference external information. In this study, we analyze and discuss the effectiveness of a retrieval approach using text embedding methods in a Japanese-language context. We classify the process of embedding queries using sentence embedding generation models into two patterns: one where the generation model possesses knowledge about the query, and one where it does not. Benchmark results obtained for each pattern revealed that retrieval accuracy declines when embedding models lack knowledge about the query. Based on this analysis, we discuss the advantages and disadvantages of existing retrieval approaches, focusing on the qualitative gap between benchmark tasks and real-world problems, and explore potential directions for future development of information retrieval.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_1_description_13":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"原著論文","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_1_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.14988/0002001368","subitem_identifier_reg_type":"JaLC"}]},"item_1_publisher_15":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"同志社大学ハリス理化学研究所","subitem_publisher_language":"ja"}]},"item_1_publisher_16":{"attribute_name":"出版者（英）","attribute_value_mlt":[{"subitem_publisher":"Harris Science Research Institute of Doshisha 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retrieval|","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"language models","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Japanese text embedding","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"information retrieval","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"言語モデルによる知識情報の関連付けについての文書検索タスクの分析","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"言語モデルによる知識情報の関連付けについての文書検索タスクの分析","subitem_title_language":"ja"},{"subitem_title":"ゲンゴ モデル ニヨル チシキ ジョウホウ ノ カンレンズケ ニツイテノ ブンショ ケンサク タスク ノ 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