NL2code
A syntactic neural model for parsing natural language to executable code paper.
Dataset and Trained Models
Get serialized datasets and trained models from here. Put models/ and data/ folders under the root directory of the project.
Usage
To train new model
. train.sh [hs|django]To use trained model for decoding test sets
. run_trained_model.sh [hs|django]Dependencies
- Theano
- vprof
- NLTK 3.2.1
- astor 0.6
Reference
@inproceedings{yin17acl,
title = {A Syntactic Neural Model for General-Purpose Code Generation},
author = {Pengcheng Yin and Graham Neubig},
booktitle = {The 55th Annual Meeting of the Association for Computational Linguistics (ACL)},
address = {Vancouver, Canada},
month = {July},
url = {https://arxiv.org/abs/1704.01696},
year = {2017}
}