Empirical Methods in Natural Language Processing
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), 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).[2]
| Empirical Methods in Natural Language Processing | |
|---|---|
| Abbreviation | EMNLP |
| Discipline | Natural language processing, Machine learning, artificial intelligence |
| Publication details | |
| History | 1996–present |
| Frequency | Annual |
| yes | |
| Website | 2021 |
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
EMNLP 2022,[4] Abu Dhabi, United Arab Emirates (Hybrid)
EMNLP 2021, Punta Cana, Dominican Republic or online- EMNLP 2020, Punta Cana, Dominican Republic (virtual conference due to COVID-19)
EMNLP 2019, Hong Kong, China.svg.png.webp)
EMNLP 2018, Brussels, Belgium
EMNLP 2017, Copenhagen, Denmark
EMNLP 2016, Austin, Texas, United States
EMNLP 2015, Lisbon, Portugal
EMNLP 2014, Doha, Qatar- EMNLP 2013, Seattle, Washington, United States
EMNLP 2012, Jeju Island, South Korea
EMNLP 2011, Edinburgh, United Kingdom- EMNLP 2010, Cambridge, Massachusetts, United States
EMNLP 2009, Singapore- EMNLP 2008, Honolulu, Hawaii, United States
EMNLP 2007, Prague, Czech Republic.svg.png.webp)
EMNLP 2006, Sydney, Australia
References
- "EMNLP 2021".
- EMNLP2017
- "Conferences Analytics". Microsoft Academic.
- 2022 EMNLP
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