{"id":191442,"updated":"2025-01-20T00:40:11.759691+00:00","links":{},"created":"2025-01-19T00:57:19.757798+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00191442","sets":["1164:4179:9477:9562"]},"path":["9562"],"owner":"11","recid":"191442","title":["Wikipediaから獲得した外部知識を用いた賛否分類"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-09-18"},"_buckets":{"deposit":"2fd45390-8aab-4fca-824a-3c11c5ed5e9c"},"_deposit":{"id":"191442","pid":{"type":"depid","value":"191442","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Wikipediaから獲得した外部知識を用いた賛否分類","author_link":["441653","441658","441654","441660","441656","441657","441659","441655"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Wikipediaから獲得した外部知識を用いた賛否分類"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"情報抽出・知識獲得","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-09-18","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東北大学"},{"subitem_text_value":"株式会社リクルートテクノロジーズ"},{"subitem_text_value":"東京工業大学"},{"subitem_text_value":"東北大学／理研AIP"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/191442/files/IPSJ-NL18237006.pdf","label":"IPSJ-NL18237006.pdf"},"date":[{"dateType":"Available","dateValue":"2020-09-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-NL18237006.pdf","filesize":[{"value":"1.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"23"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"31929984-6dc5-46a1-815b-b6d63738c7b3","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"塙, 一晃"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐々木, 彬"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岡崎, 直観"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"乾, 健太郎"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kazuaki, Hanawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Akira, Sasaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Naoaki, Okazaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kentaro, Inui","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10115061","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8779","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では賛否分類においてトピックに関する外部知識を利用するための手法を提案する．Wikipedia 記事に紐づいた 7 トピックに関する 6,701 件のツイートからなるデータセットを作成し，分析することで賛否分類における外部知識の必要性が明らかとなった．また，本研究では Wikipedia 記事から獲得した知識を賛否分類で利用するために，関連する知識を参照しながら文をエンコードすることができるモデルを提案する．Wikipedia から獲得した知識を使用する提案手法は外部知識を使用しないものよりも高い精度で賛否の予測ができることが実験結果より明らかとなった．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"9","bibliographic_titles":[{"bibliographic_title":"研究報告自然言語処理（NL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2018-09-18","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicVolumeNumber":"2018-NL-237"}]},"relation_version_is_last":true,"weko_creator_id":"11"}}