【深度学习NLP论文笔记】《Visualizing and Understanding Neural Models in NLP》
1 Introduction 神经网络对于NLP任务的可解释性很差。深度学习模型主要是基于word embedding词嵌入（比如low-dimensional，continuous，real-valued vector）。在本文中，我们使用传统方法，比如representation plotting，并使用一些简单策略来评估一个神经元（neural unit）对于语义构建（meaning com
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相关文章
- 1. 【深度学习NLP论文笔记】《Understanding Neural Networks through Representation Erasure》
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