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/atec and download data from - atec data
• split the origin csv file to train.csv , dev.csv and test.csv
• run sh scripts/train.sh