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Empirical Methods in Natural Language Processing

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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.[1] Along with the Association for Computational Linguistics (ACL) and the North American Chapter of the Association for Computational Linguistics (NAACL), it is one of the three 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).[2]

Empirical Methods in Natural Language Processing
AbbreviationEMNLP
DisciplineNatural language processing, Machine learning, artificial intelligence
Publication details
History1996–present
FrequencyAnnual
yes
Website2021.emnlp.org

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 ICML (#13) and ICLR (#15).[3]

Locations

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References

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  1. ^ "EMNLP 2021".
  2. ^ EMNLP2017
  3. ^ "Conferences Analytics". Microsoft Academic.[dead link‍]
  4. ^ 2022 EMNLP
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