JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation Rajas Agashe author Srinivasan Iyer author Luke Zettlemoyer author 2019-11 text Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) Kentaro Inui editor Jing Jiang editor Vincent Ng editor Xiaojun Wan editor Association for Computational Linguistics Hong Kong, China conference publication agashe-etal-2019-juice 10.18653/v1/D19-1546 https://aclanthology.org/D19-1546/ 2019-11 5436 5446