{"created":"2025-01-19T01:15:47.263318+00:00","updated":"2025-01-19T16:22:05.571526+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00215000","sets":["6504:10735:10808"]},"path":["10808"],"owner":"44499","recid":"215000","title":["Twitter発話文に含まれる固有表現のラベル体系を考慮したユーザの属性推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"a400801f-57cb-4e9f-9ba3-6d8a67f0d0cf"},"_deposit":{"id":"215000","pid":{"type":"depid","value":"215000","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Twitter発話文に含まれる固有表現のラベル体系を考慮したユーザの属性推定","author_link":["553329","553330"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Twitter発話文に含まれる固有表現のラベル体系を考慮したユーザの属性推定"}]},"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":"法大"},{"subitem_text_value":"法大"}]},"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/215000/files/IPSJ-Z83-5Q-06.pdf","label":"IPSJ-Z83-5Q-06.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-5Q-06.pdf","filesize":[{"value":"496.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"91141933-b30a-4501-bc03-34cbb0711ca1","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":"坂本, 裕樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"赤石, 美奈"}],"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":"近年,対話システムに関する研究が活発に行われている.本研究では,ユーザの属性に基づく対話システムのパーソナライズを目的とし,ユーザのTwitter発話文から,ユーザの3属性(年代,職業,興味地域)を推定する手法を提案する.提案手法は,2層の処理により3属性を推定する.第1層は,ユーザの発話文に含まれる固有表現を抽出し,そのラベル体系に基づいて数種類の発話集合に分類する.第2層は,第1層により分類された発話集合を入力とし,Transformerを活用した双方向のエンコード表現BERTを用いたモデルから,3属性を推定する.また,本手法の有効性を確認するため,本手法を用いたユーザの3属性の推定実験を行い,推定の正解率により評価する.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"400","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"399","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":215000,"links":{}}