jdc08161063 / race_ar_baselines

RACE Reading Comprehension Task

Code for the paper:

RACE: Large-scale ReAding Comprehension Dataset From Examination. Guokun Lai*, Qizhe Xie*, Hanxiao Liu, Yiming Yang and Eduard Hovy.

Dependencies

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

Datasets

• RACE: Please download from here then create a "data" directory in the root directory and decompress the file in the "data" directory

• Word embeddings:

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

Usage

Preprocessing

* python preprocess.py

Stanford AR

* train: bash train_SAR.sh
* test: bash test_SAR.sh

GA

* train: bash train_GA.sh
* test: bash test_GA.sh

Reference

@article{lai2017large,
  title={RACE: Large-scale ReAding Comprehension Dataset From Examinations},
  author={Lai, Guokun and Xie, Qizhe and Liu, Hanxiao and Yang, Yiming and Hovy, Eduard},
  journal={arXiv preprint arXiv:1704.04683},  
  year={2017}
}

Thanks

• The code is adapted from https://github.com/danqi/rc-cnn-dailymail and https://github.com/bdhingra/ga-reader

Contact

• Please contact Qizhe Xie (qzxie AT cs DOT cmu DOT edu) if you find bugs or missing info

License

MIT