Ranking & Metrics
Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.
Research Impact Score:5.80
Contributing Best Scientists:95
H5-index:
Papers published by Best Scientists88
Research Ranking (Computer Science)69
Conference Call for Papers
SIGNLL invites submissions to the 25th Conference on Computational Natural Language Learning (CoNLL 2021). The focus of CoNLL is on theoretically, cognitively and scientifically motivated approaches to computational linguistics, rather than on work driven by particular engineering applications. Such approaches include:
Computational learning theory and other techniques for theoretical analysis of machine learning models for NLP
Models of first, second and bilingual language acquisition by humans
Models of language evolution and change
Computational simulation and analysis of findings from psycholinguistic and neurolinguistic experiments
Analysis and interpretation of NLP models, using methods inspired by cognitive science or linguistics or other methods
Data resources, techniques and tools for scientifically-oriented research in computational linguistics
Connections between computational models and formal languages or linguistic theories
Linguistic typology, translation, and other multilingual work
Theoretically, cognitively and scientifically motivated approaches to text generation
