Deep Learning for Extreme Multi-label Text Classification
一、背景介绍 1、研究背景：Multi-label和二分类、多分类研究的内容本身就不太一样，并且Multi-label的数据稀疏问题比单一分类更严重，因此很难学习label之间的依赖关系。 2、研究问题：Extreme Multi-label Text Classification（XMTC）研究的是在一个非常大的标签空间中，为每一个文档找到最相关的若干标签（例如Wikipedia） 3、相关工作
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