representation-based method
基本的文本匹配模型，用于重复问题检测。模型使用词语和字符两种级别的嵌入向量，将两段文本进行LSTM表示，然后拼接得到隐含向量，进行二分类。
features
- pretrained word and char embedding
- combine word-level and char-level matching signal
- clone the reposity and run
sh scripts/setup.sh cd data/atecand download data from - atec data- split the origin csv file to
train.csv,dev.csvandtest.csv - run
sh scripts/train.sh