Empirical Methods in Natural Language Processing — 2026

The Conference on Empirical Methods in Natural Language Processing is a premier international forum for research on data driven language technologies. EMNLP emphasizes empirical evaluation and methodological rigor across topics such as language modeling, information extraction, question answering, dialogue systems, multilingual NLP, and grounded language understanding. The conference highlights both theoretical insights and practical systems that scale to real world language data.

Who Should Attend

EMNLP is ideal for researchers, engineers, data scientists, and practitioners working in natural language processing, machine learning, and applied AI. Attendees benefit from technical paper sessions, workshops, tutorials, and discussions that reflect the latest advances in language technology.

Who Should Submit Papers

Authors developing new models, learning methods, datasets, evaluation frameworks, or analyses related to natural language understanding and generation should submit to EMNLP. Papers that demonstrate strong empirical results, reproducibility, and meaningful insights into language data are especially well suited.

  For more information, visit the conference website