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

顺带介绍料WMD的相关知识

模型的具体解析在 语义匹配.pdf中 纯属个人学习所用

论文及在papers文件夹中