The 2026 Conference on Empirical Methods in Natural Language Processing
About This Conference
EMNLP 2026, the Conference on Empirical Methods in Natural Language Processing, is one of the flagship venues for research that grounds language technology in rigorous data-driven experimentation. The program spans the full breadth of modern NLP: large language models, machine translation, sentiment analysis, question answering, discourse, information extraction, and low-resource language processing, with a strong emphasis on evaluation methodology and reproducibility.
EMNLP attracts a diverse global community of computational linguists, AI researchers, and NLP engineers who value empirical rigor over purely theoretical contributions. Graduate students presenting their first systems papers share the program with senior researchers shaping the direction of the field, making the conference an essential meeting point for anyone building or studying language technology.
EMNLP attracts a diverse global community of computational linguists, AI researchers, and NLP engineers who value empirical rigor over purely theoretical contributions. Graduate students presenting their first systems papers share the program with senior researchers shaping the direction of the field, making the conference an essential meeting point for anyone building or studying language technology.
Details
Start Date
Oct 24, 2026
End Date
Oct 24, 2026
Deadline
Aug 02, 2026
Format
In-Person
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