##A Decomposable Attention Model for Natural Language Inference

This is an adaptation in dynet of the model presented in https://arxiv.org/pdf/1606.01933v1.pdf

I used the glove.42B.300d.txt. Download them from: http://nlp.stanford.edu/data/glove.42B.300d.zip To run the model, I put the glove's words and the snli data in a folder named data. If they are in an other folder, give the correct path in the config.py file. To run, use the command: python model.py It is recommended to run with autobatch enabled: python model.py --dynet-autobatch 1