{"created":"2025-01-19T01:29:43.192731+00:00","updated":"2025-01-19T11:16:29.801903+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230138","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230138","title":["トピック中心文とキーワードを用いたTextRankによる抽出型要約の冗長性削減の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"eb4611fb-1ae2-4214-a9d8-8c997fc715a0"},"_deposit":{"id":"230138","pid":{"type":"depid","value":"230138","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"トピック中心文とキーワードを用いたTextRankによる抽出型要約の冗長性削減の提案","author_link":["619154","619155"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"トピック中心文とキーワードを用いたTextRankによる抽出型要約の冗長性削減の提案"}]},"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":"2023-02-16","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":"大阪教大"},{"subitem_text_value":"大阪教大"}]},"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/230138/files/IPSJ-Z85-2V-04.pdf","label":"IPSJ-Z85-2V-04.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-2V-04.pdf","filesize":[{"value":"109.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"2062a842-02a2-4fc1-9abf-cb32b396bf37","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"蔡, 宇鋒"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"望月, 久稔"}],"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":"　TextRankは少ないデータでよい精度を出せる特徴があるため，抽出型要約でよく用いられるが，冗長性があるため改善を図る．実験結果より，ニュース記事をLDAでトピックに分けた場合の中心文に重要な情報は多いが，文が長い特徴がある．各トピックに属する文の単語とそのトピックのキーワードとの平均共起回数が多いと考え，「トピック中心文との類似度で各文に点数をつける」，「LDAで分けたトピックのキーワードと各文の共起回数，文の単語数情報で，同一トピックから冗長で重複する文の抽出を制限する」ことを提案する．抽出文の質と冗長性をそれぞれRougeとcos類似度で評価する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"702","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"701","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230138,"links":{}}