{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00215090","sets":["6504:10735:10808"]},"path":["10808"],"owner":"44499","recid":"215090","title":["取り合わせ語による意外性を創出する俳句の自動生成方式"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"d36a174a-7b5c-43c4-8193-6f5da709543d"},"_deposit":{"id":"215090","pid":{"type":"depid","value":"215090","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"取り合わせ語による意外性を創出する俳句の自動生成方式","author_link":["553616","553615"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"取り合わせ語による意外性を創出する俳句の自動生成方式"}]},"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":"2021-03-04","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":"神奈川大"},{"subitem_text_value":"神奈川大"}]},"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/215090/files/IPSJ-Z83-5S-06.pdf","label":"IPSJ-Z83-5S-06.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-5S-06.pdf","filesize":[{"value":"398.0 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"3813e25b-05bb-4b1a-9b00-96c448211b7b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"信末, 竜空"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"秋吉, 政徳"}],"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":"Generative Adversarial Nets (GAN)の出現により容易に膨大なデータを生成することが可能になった。GANは、実在するようなデータを生成することに長けている一方で、人に新たな発見を与えるような面白いデータの生成はできていない。人の想像力を膨らませるような意外性のあるデータを生成できるようになることでGANはこれまでにない新たな価値を持つようになる。本稿では、SeqGANをベースとした意外性のある俳句の生成方式を提案する。俳句に利用する単語の予想外性とトピック共通性をトピックモデルを用いて定義し、これらを損失関数に組み込むことで俳句の意外性を学習する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"586","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"585","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":215090,"updated":"2025-01-19T16:19:37.773228+00:00","links":{},"created":"2025-01-19T01:15:52.316962+00:00"}