【论文笔记】Bag of Tricks for Efficient Text Classification
这篇文章写的是Facebook推出的FastText，能够快速在海量文本数据上进行分类任务和表示学习，可以用一个普通的多线程CPU在十分钟内训练百万级的语料，一分钟内将五十万文本分类到三十万个类别中。 最近几年深度学习在NLP任务上虽取得了显著地成就，但此类模型无论是训练还是测试阶段都因过长的时间消耗很难应用在更大的语料数据上。与此同时一些简单的线性模型在保持速度效率的同时也有不俗
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相关文章
- 1. Bag of Tricks for Efficient Text Classification
- 2. (36)[EACL] Bag of Tricks for Efficient Text Classification
- 3. 论文阅读：《Bag of Tricks for Efficient Text Classification》
- 4. Fasttext (Bag of Tricks for Efficient Text Classification) 阅读笔记
- 5. Bag of Tricks for Efficient Text Classification(FastText)阅读笔记
- 6. Bag of Tricks for Image Classification with Convolutional Neural Networks论文笔记
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