{"links":{},"id":196790,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00196790","sets":["6504:9795:9801"]},"path":["9801"],"owner":"6748","recid":"196790","title":["Doc2Vecを用いた国語記述式答案の自動評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"_buckets":{"deposit":"1af40e1e-fb2a-4006-bfe8-ee23d6bdab4b"},"_deposit":{"id":"196790","pid":{"type":"depid","value":"196790","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"Doc2Vecを用いた国語記述式答案の自動評価","author_link":["471312","471311"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Doc2Vecを用いた国語記述式答案の自動評価"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2019-02-28","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":"はこだて未来大"},{"subitem_text_value":"はこだて未来大"}]},"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/196790/files/IPSJ-Z81-6Q-07.pdf","label":"IPSJ-Z81-6Q-07.pdf"},"date":[{"dateType":"Available","dateValue":"2019-05-28"}],"format":"application/pdf","filename":"IPSJ-Z81-6Q-07.pdf","filesize":[{"value":"321.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"704093db-a5be-4db2-89f6-2fb09b0fdd16","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"鈴木, 千尋"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐藤, 直行"}],"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":"大学入学共通テストでは記述式問題が導入されるが，最大の課題は採点であるとされている．本研究では，Doc2Vecを用いて国語の記述答案の自動評価を行う手法（答案と模範解答の類似度で評価）を提案する．様々な種類の答案を評価するために3つのテストを用い，類似度と人間による評価を比較することで妥当性を検討した．その結果，自由再生テストおよび要約テストともに，類似度と人間による評価の間に有意な相関が得られた．しかし，短答式記述テストでは「抽出型」問題で有意な相関が得られたが，「表現工夫型」問題では有意な相関は得られなかった．以上より，「抽出型」ではDoc2Vecで人間と程近い評価ができることが示された．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"136","bibliographic_titles":[{"bibliographic_title":"第81回全国大会講演論文集"}],"bibliographicPageStart":"135","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-19T01:01:17.681612+00:00","updated":"2025-01-19T22:38:18.760622+00:00"}