@InProceedings{wang-EtAl:2017:Long3,
  author    = {Wang, Sida I.  and  Ginn, Samuel  and  Liang, Percy  and  Manning, Christopher D.},
  title     = {Naturalizing a Programming Language via Interactive Learning},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {929--938},
  abstract  = {Our goal is to create a convenient natural language interface for performing
	well-specified but complex actions such as analyzing data, manipulating text,
	and querying databases. However, existing natural language interfaces for such
	tasks are quite primitive compared to the power one wields with a programming
	language. To bridge this gap, we start with a core programming language and
	allow users to ``naturalize'' the core language incrementally by defining
	alternative, more natural syntax and increasingly complex concepts in terms of
	compositions of simpler ones. In a voxel world, we show that a community of
	users can simultaneously teach a common system a diverse language and use it to
	build hundreds of complex voxel structures. Over the course of three days,
	these users went from using only the core language to using the naturalized
	language in 85.9\% of the last 10K utterances.},
  url       = {http://aclweb.org/anthology/P17-1086}
}