• Source: 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. 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).
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).




Locations


EMNLP 2024, Miami, Florida, United States
EMNLP 2023, Singapore
EMNLP 2022, 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
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
EMNLP 2006, Sydney, Australia




References

Kata Kunci Pencarian:

• Duolingo English Test
• Perceptron
• Pemelajaran mesin
• Empirical Methods in Natural Language Processing
• Prompt engineering
• Attention Is All You Need
• Word embedding
• Word-sense disambiguation
• Textual entailment
• Citation analysis
• BERT (language model)
• Natural language processing
• Paraphrase