本项目实现了语义匹配的几个模型，分别为： DSSM Learning Deep Structured Semantic Models for Web Search using Clickthrough Data
ESIM Enhanced LSTM for Natural Language Inference
Pair-CNN Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks
ABCNN ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
BIMPM bilateral multi-perspective matching for natural language sentences
论文及papers在文件夹中