LiveQA: A Question Answering Dataset over Sports Live. The Nineteenth China National Conference on Computational Linguistics, CCL 2020.
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- Python 2.7
- Theano >= 0.7
- Lasagne 0.2.dev1
- LiveQA: raw data could be found here
* python preprocess.py
* test pre-trained model: bash test_SAR.sh
* train: bash train_SAR.sh (The pre-trained model will be replaced)
* test pre-trained model: bash test_GA.sh
* train: bash train_GA.sh (The pre-trained model will be replaced)
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The code is adapted from Stanford AR https://github.com/danqi/rc-cnn-dailymail and GA https://github.com/bdhingra/ga-reader
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Forked from Code for the paper: RACE: Large-scale ReAding Comprehension Dataset From Examination. Guokun Lai*, Qizhe Xie*, Hanxiao Liu, Yiming Yang and Eduard Hovy. EMNLP 2017
MIT