CFP summary
CoNLL is a top-tier conference in computational linguistics and NLP with a distinctive emphasis on theoretically, cognitively, and scientifically motivated approaches. Co-located with ACL 2026, the conference brings together work on computational models of language, cognition, interaction, multilinguality, speech, semantics, and interpretation of modern ML models for NLP. The venue is particularly well suited to research that combines linguistic theory, cognitive science, and robust computational methodology.
Topics
Computational psycholinguistics, cognition and linguistics; usage-based grammars; computational social science and sociolinguistics; interaction and dialogue; language acquisition, learning, emergence, and evolution; multimodality and grounding; typology and multilinguality; speech and phonology; syntax and morphology; lexical, compositional and discourse semantics; theoretical analysis and interpretation of ML models for NLP; resources and tools for scientifically motivated research; language and the brain.