Presenter:

Graham Neubig, Carnegie Mellon University [PUBS] [SLIDES] [VIDEOS]

Readings:

Primary: Yin and Neubig [3], Secondary: Allamanis et al [1]

References:

[1]	Miltiadis Allamanis, Earl T. Barr, Premkumar T. Devanbu, and Charles A. Sutton. A survey of machine learning for big code and naturalness. CoRR, arXiv:1709.06182, 2017.
[2]	Takuya Hiraoka, Graham Neubig, Koichiro Yoshino, Tomoki Toda, and Satoshi Nakamura. Active learning for example-based dialog systems. In Kristiina Jokinen and Graham Wilcock, editors, Dialogues with Social Robots: Enablements, Analyses, and Evaluation, pages 67--78. Springer Singapore, Singapore, 2017.
[3]	Pengcheng Yin and Graham Neubig. A syntactic neural model for general-purpose code generation. In The 55th Annual Meeting of the Association for Computational Linguistics (ACL), Vancouver, Canada, 2017.