本项目介绍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
论文集在papers文件夹中
github:https://github.com/pengming617/text_matching
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上文中介绍的Bimpm代码复制于 https://zhuanlan.zhihu.com/p/50184415,特此感谢 简枫 同学