Deep Learning for Extreme Multi-label Text Classification阅读笔记
目录 概述 模型 Dynamic max pooling 损失函数 Hidden Bottleneck layer 实验参数设置 实验结果 概述 Extreme multi-label就是说总的标签量非常多, 成千上万甚至数百万. Extreme multi-label text classification主要难点在于数据稀疏, 并且计算量较大(标签太多). 本文作者对textcnn进行改
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相关文章
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