attention+RNN做文本情感分类《Recurrent Attention Network on Memory for Aspect Sentiment Analysis》
原文链接 本文发表于自然语言处理领域顶级会议 ACL 2017 代码链接 摘要 本文提出了一种基于多重attention的可以捕捉长距离情感特征的框架，该框架对无关信息具有更强的鲁棒性，并且将多重attention的结果与RNN进行非线性组合，从而模型能够提取更加复杂的特征。实验表明本文提出的框架效果不错。 模型 我们假设输入句子是一个序列 s={s1,s2,...,sτ−1,sτ,sτ+1,..
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相关文章
- 1. 2017emnlp---Recurrent Attention Network on Memory for Aspect Sentiment Analysis阅读笔记
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