Empirical Methods in Natural Language Processing: Difference between revisions

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Revision as of 03:38, 4 January 2022

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'''Empirical Methods in Natural Language Processing''' ('''EMNLP''') is a leading conference in the area of [[natural language processing]] and [[artificial intelligence]].<ref>{{cite web |title=EMNLP 2021 |url=https://2021.emnlp.org/}}</ref> Along with the [[Association for Computational Linguistics]] (ACL), it is one of the two primary high impact conferences for natural language processing research. EMNLP is organized by the ACL special interest group on linguistic data (SIGDAT) and was started in 1996, based on an earlier conference series called Workshop on Very Large Corpora (WVLC).<ref>http://emnlp2017.net/</ref>

{{As of|2021}}, according to [[Microsoft Academic]], EMNLP is the 14th most cited conference in computer science, with a citation count of 332,738, between [[International Conference on Machine Learning|ICML]] (#13) and [[International Conference on Learning Representations|ICLR]] (#15).<ref>{{cite web |url=https://academic.microsoft.com/conferences/41008148 |title=Conferences Analytics |publisher=Microsoft Academic}}{{dead link|date=January 2022|bot=medic}}{{cbignore|bot=medic}}</ref>

==Locations==