Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models

Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models Henry Moss author David Leslie author Paul Rayson author 2018-08 text Proceedings of the 27th International Conference on Computational Linguistics Emily M Bender editor Leon Derczynski editor Pierre Isabelle editor Association for Computational Linguistics Santa Fe, New Mexico, USA conference publication moss-etal-2018-using https://aclanthology.org/C18-1252/ 2018-08 2978 2989