{"updated":"2025-01-20T19:13:29.644441+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00141882","sets":["1164:5159:7884:8253"]},"path":["8253"],"owner":"11","recid":"141882","title":["逐次最適解更新による頑健な単語分散表現の学習方式"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-05-18"},"_buckets":{"deposit":"9be198e3-dbed-4135-b16e-500023d1e318"},"_deposit":{"id":"141882","pid":{"type":"depid","value":"141882","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"逐次最適解更新による頑健な単語分散表現の学習方式","author_link":["208488","208487"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"逐次最適解更新による頑健な単語分散表現の学習方式"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"言語処理","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2015-05-18","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"日本電信電話株式会社NTTコミュニケーション科学基礎研究所"},{"subitem_text_value":"日本電信電話株式会社NTTコミュニケーション科学基礎研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"NTT Communication Science Laboratories, NTT Corporation","subitem_text_language":"en"},{"subitem_text_value":"NTT Communication Science Laboratories, NTT Corporation","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/141882/files/IPSJ-SLP15106016.pdf"},"date":[{"dateType":"Available","dateValue":"2017-05-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLP15106016.pdf","filesize":[{"value":"841.4 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"22"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"9a6d4628-3c8a-42db-897e-2f2bdd28ee81","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2015 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"鈴木, 潤"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"永田, 昌明"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10442647","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":"2188-8663","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"SkipGram, GloVe といった対数双線形言語モデルに属する単語分散表現のモデルは，これまで確率的勾配法 (SGD) やその拡張である AdaGrad といった勾配に基づくオンライン学習アルゴリズムを用いてパラメタ推定を行ってきた．しかし，対数双線形言語モデルと勾配に基づくパラメタ推定法の組み合わせは，解の収束性や再現性といった観点で，必ずしも適切な選択とは言えない．本稿では，より信頼性の高い単語分散表現を獲得する枠組みを構築することを目的として，対数双線形言語モデルが持つ性質に対応したパラメタ推定法を提案する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"9","bibliographic_titles":[{"bibliographic_title":"研究報告音声言語情報処理（SLP）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2015-05-18","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"16","bibliographicVolumeNumber":"2015-SLP-106"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:19:24.391486+00:00","id":141882,"links":{}}