{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00146217","sets":["1164:4179:7840:8384"]},"path":["8384"],"owner":"11","recid":"146217","title":["分散表現を用いた教師あり機械学習による語義曖昧性解消"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-11-26"},"_buckets":{"deposit":"ba0fabb5-02e2-47f0-8a0a-d8df42513594"},"_deposit":{"id":"146217","pid":{"type":"depid","value":"146217","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"分散表現を用いた教師あり機械学習による語義曖昧性解消","author_link":["227492","227490","227489","227495","227494","227493","227491","227488"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"分散表現を用いた教師あり機械学習による語義曖昧性解消"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"基礎技術","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2015-11-26","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"茨城大学工学部情報工学科"},{"subitem_text_value":"茨城大学工学部情報工学科"},{"subitem_text_value":"茨城大学工学部情報工学科"},{"subitem_text_value":"茨城大学工学部情報工学科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Ibaraki University","subitem_text_language":"en"},{"subitem_text_value":"Ibaraki University","subitem_text_language":"en"},{"subitem_text_value":"Ibaraki University","subitem_text_language":"en"},{"subitem_text_value":"Ibaraki University","subitem_text_language":"en"}]},"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/146217/files/IPSJ-NL15224017.pdf","label":"IPSJ-NL15224017.pdf"},"date":[{"dateType":"Available","dateValue":"2017-11-26"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-NL15224017.pdf","filesize":[{"value":"780.2 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Yamaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroyuki, Shinnou","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kanako, Komiya","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Minoru, Sasaki","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":"近年,自然言語処理の多くのタスクに単語の分散表現が利用されている.教師あり機械学習による語義曖昧性解消に対しては Sugawara の研究が存在する.Sugawara の手法は素性として周辺単語の他にその分散表現を加えた単純なものである.周辺単語のみを用いたモデルよりも正解率は有意に高かったが,(1) 文脈上の単語の位置が規定される,(2) 自立語以外の単語も考慮している,という 2 つの問題があると思われる.ここでは上記 (1) と (2) を改善した分散表現の新しい利用法を提案する.実験では SemEval-2 の日本語辞書タスクのデータを用いて,提案手法が Sugawara の手法よりも高い正解率を出すことを確認した.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告自然言語処理(NL)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2015-11-26","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"17","bibliographicVolumeNumber":"2015-NL-224"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":146217,"updated":"2025-01-20T18:03:29.605649+00:00","links":{},"created":"2025-01-19T00:21:42.399312+00:00"}