论文阅读笔记: Multi-Perspective Sentence Similarity Modeling with Convolution Neural Networks

其他 2018-07-08 18:14:06 阅读次数: 0

论文概况

Multi-Perspective Sentence Similarity Modeling with Convolution Neural Networks是处理比较两个句子相似度的问题, 适用于解决智能客服问题匹配场景中用户提交的问句与知识库中问句的匹配.

文章将整个问题的解决分成两部分:

对句子进行建模, 将句子转换为某种向量表示. 这部分使用CNN完成
两个句子相似度衡量的方式. 这里是新颖的地方.

然后将衡量计算得到的相似度向量投入到Dense层中, 再根据目标接Output层(如sigmoid层, softmax层等), 训练得到模型.

整体的结构如下:

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转载自www.cnblogs.com/databingo/p/9280716.html

论文阅读笔记: Multi-Perspective Sentence Similarity Modeling with Convolution Neural Networks

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Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks（阅读理解）

文本相似度：Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks

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