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insuranceqa-cnn's Introduction

See theano and tensorflow folder

This is a CNN model for Q&A(Question and Answering), include theano and tensorflow code implementation

theano和tensorflow的网络结构都是一致的: word embedings + CNN + max pooling + cosine similarity

目前再insuranceQA的test1数据集上,top-1准确率可以达到62%左右,跟论文上是一致的。

这里只提供了CNN的代码,后面我测试了LSTM和LSTM+CNN的方法,LSTM+CNN的方法比单纯使用CNN或LSTM效果还要更好一些,在test1上的准确率可以再提示5%-6%

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