{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214072","sets":["1164:4179:10535:10759"]},"path":["10759"],"owner":"44499","recid":"214072","title":["深層学習を利用したクイズの選択肢生成手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-11-24"},"_buckets":{"deposit":"cd445096-79cd-4a93-bcac-a7f1e2964d57"},"_deposit":{"id":"214072","pid":{"type":"depid","value":"214072","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"深層学習を利用したクイズの選択肢生成手法の提案","author_link":["548511","548515","548512","548514","548513","548510"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"深層学習を利用したクイズの選択肢生成手法の提案"},{"subitem_title":"A Method to make quiz choices using deep learning","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンテンツ処理","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2021-11-24","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"琉球大学理工学研究科情報工学専攻"},{"subitem_text_value":"琉球大学工学部"},{"subitem_text_value":"沖縄国際大学経済学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Ryukyu University, Graduate School of Engineeringa and Science, Information Engineering","subitem_text_language":"en"},{"subitem_text_value":"University of the Ryukyus, Faculity of  Engineering","subitem_text_language":"en"},{"subitem_text_value":"Okinawa International University, Department of Economics","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/214072/files/IPSJ-NL21251009.pdf","label":"IPSJ-NL21251009.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-24"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-NL21251009.pdf","filesize":[{"value":"374.4 kB"}],"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":"e3d578df-57ae-4983-b91e-88bdb249bf79","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"松田, 意仁"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"赤嶺, 有平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"根路銘, もえ子"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Okuto, Matsuda","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuhei, Akamine","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Moeko, Nerome","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":"本研究では空欄に入る単語を推定する穴埋めモデルの出力を利用し，選択式クイズにおける選択肢の生成を行う．選択肢の中に類語が出現することを避けるため，それぞれの単語における分散表現の cos 類似度やユークリッド距離の閾値を決定し，それをもとに類語判定を行なった．また，穴埋めモデルの出力から選択肢生成に利用する単語数を増やすことで選択式クイズとして利用可能なものが得られやすくなる結果となった．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this study, we propose a new method to automatically make quiz choices using outputs of Masked Language Model that predicts the answer for cloze test. Our method uses synonym identification to remove inappropriate choices based on cosine similarity and Euclid distance between each word-embeddings. In addition, we have got the result that more applicable quiz choices are generated by increasing words taken from Masked Language Model.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"3","bibliographic_titles":[{"bibliographic_title":"研究報告自然言語処理（NL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-11-24","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"9","bibliographicVolumeNumber":"2021-NL-251"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214072,"updated":"2025-01-19T16:54:45.517633+00:00","links":{},"created":"2025-01-19T01:14:54.483899+00:00"}