SNLI task with LSTM Memory Network encoder-dencoder and neural attention

This is an implementation for the deep attention fusion LSTM memory network presented in the paper "Long Short-Term Memory Networks for Machine Reading".

Setup and Usage

This code requires Torch7 and nngraph. It is updated to use torch version around May 2016. Minimum preprocessing is needed to obtain a good accuracy, including lower-casing and tokenization.

Citation

@article{cheng2016,
  author = {Cheng, Jianpeng and Dong, Li and Lapata, Mirella,
  title = {Long Short-Term Memory Networks for Machine Reading},
  journal = {EMNLP},
  year = {2016},
  pages = {551--562}
}