Recurrent Neural Network for Text Classification with Multi-Task Learning
引言 Pengfei Liu等人在2016年的IJCAI上发表的论文，论文提到已存在的网络都是针对单一任务进行训练，但是这种模型都存在问题，即缺少标注数据，当然这是任何机器学习任务都面临的问题。 为了应对数据量少，常用的方法是使用一个无监督的预训练模型，比如词向量，实验中也取得了不错的效果，但这样的方法都是间接改善网络效果。 作者提出了一种新的方法，将多个任务联合起来训练，用来直接对网络进行改善，
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相关文章
- 1. Recurrent Convolutional Neural Networks for Text Classification
- 2. (zhuan) Recurrent Neural Network
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- 6. 【论文阅读笔记】Document Modeling with Gated Recurrent Neural Network for Sentiment Classification
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