Lightweight Text Matching Method

This paper constructs a lightweight text matching model. model fully extracts the features of two through fusion double tower and interactive methods, then conducts deep interaction. Then, it classifies last extracted classification network, training, validation testing on Chinese dataset LCQMC. Although experimental results show that in this is relatively good, still needs to be improved.