{"links":{},"id":197567,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00197567","sets":["1164:4179:9731:9822"]},"path":["9822"],"owner":"44499","recid":"197567","title":["ニューラル言語モデルの研究動向"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-06-06"},"_buckets":{"deposit":"d605370b-3d82-439b-9997-1562a5a2bd92"},"_deposit":{"id":"197567","pid":{"type":"depid","value":"197567","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ニューラル言語モデルの研究動向","author_link":["474199"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ニューラル言語モデルの研究動向"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"招待講演","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2019-06-06","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京工業大学"}]},"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/197567/files/IPSJ-NL19240004.pdf","label":"IPSJ-NL19240004.pdf"},"date":[{"dateType":"Available","dateValue":"2021-06-06"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-NL19240004.pdf","filesize":[{"value":"587.8 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"23"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"d587f102-c99d-4f3c-9e25-d2b8b1260d33","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"高瀬, 翔"}],"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":"言語モデルは与えられた系列の尤もらしさを計算するモデルであり,機械翻訳や音声認識など,応用範囲は多岐にわたる.とりわけ,近年のニューラル言語モデルの発展は目覚ましく,ベンチマークとして用いられることの多い Penn Treebank コーパスにおいて,劇的な性能向上が報告されている.本講演では,これら最新のニューラル言語モデルの研究動向を概観する.特に,トップスコアを達成したと謳う研究では,どの要因が性能向上に寄与したか判然としないものもあるため,力の及ぶ限りで整理を行いたい.さらに,ニューラル言語モデルの発展として,ELMo や BERT のような埋込表現にもふれた上で,今後の方向性について議論を行う.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1","bibliographic_titles":[{"bibliographic_title":"研究報告自然言語処理(NL)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2019-06-06","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicVolumeNumber":"2019-NL-240"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:02:00.273644+00:00","updated":"2025-01-19T22:18:16.604474+00:00"}