【论文阅读笔记】Relation Classification via Convolutional Deep Neural Network
本文发表在Proceedings of COLING 2014，这篇文章发表较早，值得借鉴的是局部特征和全局特征拼接进行分类处理的思路，其实在后续几NLP、CV领域的很多论文都有这种思路的体现，但是是否有比简单拼接局部和全局特征更好的特征融合方式值得探索。 本文主要内容如下： 用于关系分类的最先进的方法主要基于统计机器学习，并且它们的性能很大程度上取决于提取
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相关文章
- 1. Relation Classification via Convolutional Deep Neural Network 论文笔记
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