{"links":{},"id":196943,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00196943","sets":["6504:9795:9801"]},"path":["9801"],"owner":"6748","recid":"196943","title":["文章の相対位置関係に基づくユーザの知識レベルに応じた記事要約の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"_buckets":{"deposit":"21965963-7c25-458a-8af3-18ddafd2e321"},"_deposit":{"id":"196943","pid":{"type":"depid","value":"196943","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"文章の相対位置関係に基づくユーザの知識レベルに応じた記事要約の提案","author_link":["471944","471943","471942","471941"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"文章の相対位置関係に基づくユーザの知識レベルに応じた記事要約の提案"}]},"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":"京産大"},{"subitem_text_value":"京産大"},{"subitem_text_value":"山口大"},{"subitem_text_value":"京産大"}]},"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/196943/files/IPSJ-Z81-2U-02.pdf","label":"IPSJ-Z81-2U-02.pdf"},"date":[{"dateType":"Available","dateValue":"2019-05-28"}],"format":"application/pdf","filename":"IPSJ-Z81-2U-02.pdf","filesize":[{"value":"429.9 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"024a130a-ed83-439d-8114-3c2492e9e943","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":"阪田, 晴香"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Panote, Siriaraya"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"王, 元元"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"河合, 由起子"}],"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":"本研究では，検索キーワードの出現する文章を起点とした周辺文章となる位置関係に基づき文章を抽出し，検索キーワードに対するユーザの知識レベルに応じた記事要約手法を提案する．提案手法は，検索キーワードを含む文章とその文章の前後に出現する文章との位置関係は，検索キーワードを説明する内容の詳細度と関連するという仮定に基づき，文章間の距離に基づいて要約を複数生成する．具体的には，検索キーワードを含む記事を検索結果より取得し，そのワードを含む文章の前後の文章を取得し，LDAより関連の高い文章を選択し要約する．前後の文章の取得の間隔を広げていくことで，異なる要約文が作成される．本稿では，ニュース記事の要約文生成システムを実装し，文章間の距離に基づき生成された複数の要約文に対して被験者に詳細度を評価してもらい，ユーザの知識レベルに応じた要約文の適合率を検証し，提案手法の有用性を検討する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"438","bibliographic_titles":[{"bibliographic_title":"第81回全国大会講演論文集"}],"bibliographicPageStart":"437","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-19T01:01:26.227539+00:00","updated":"2025-01-19T22:34:17.284730+00:00"}