ElimiNet

This repo contains the code for ElimiNet paper published in the proceedings of IJCAI-ECAI-2018.

Dependencies

• Python 2.7
• Theano >= 0.7
• Lasagne 0.2.dev1

Datasets

• RACE: Please submit a data request here. The data will be automatically sent to you. Create a "data" directory alongside "src" directory and download the data.

• Word embeddings:

  • glove.6B.zip: http://nlp.stanford.edu/data/glove.6B.zip

Usage

Preprocessing

* python preprocess.py

Training

Create an "obj" directory. Models to be stored here.

Pre-trained ElimiNet

* For training: bash train_PRE.sh
* For testing: bash test.sh

End-to-end ElimiNet

* For training: bash train_E2E.sh
* For testing: bash test.sh

Acknowledgement

• This code is adapted from repo for RACE baseline

Contact

• Please contact Soham Parikh ([email protected]) for clarification/bugs in the code.