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结果
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char_cnn :论文链接[Character-level Convolutional Networks for Text Classification](https://arxiv.org/pdf/1509.01626v3.pdf)
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dpcnn:论文链接[Deep Pyramid Convolutional Neural Networks for TextCategorization](https://ai.tencent.com/ailab/media/publications/ACL3-Brady.pdf)
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HAN:论文链接[Hierarchical Attention Networks for Document Classification](https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf)
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LSTM+self_attention:论文链接[A Structured Self-attentive Sentence Embedding](<https://arxiv.org/pdf/1703.03130.pdf>)
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AWD-LSTM:论文链接[Regularizing and Optimizing LSTM Language Models](<https://arxiv.org/pdf/1708.02182.pdf>)
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#待补充
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awd_lstm:
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lstm_self_attention(BCN?):
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awd-sltm:
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# 数据集及复现结果汇总
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使用fastNLP复现的结果vs论文汇报结果(/前为fastNLP实现,后面为论文报道,-表示论文没有在该数据集上列出结果)
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model name | yelp_p | sst-2|IMDB|
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:---: | :---: | :---: | :---:
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char_cnn | 93.80/95.12 | - |- |
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dpcnn | 95.50/97.36 | - |- |
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HAN |- | - |-|
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BCN| - |- |-|
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awd-lstm| - |- |-|
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model name | yelp_p | yelp_f | sst-2|IMDB|
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:---: | :---: | :---: | :---: |----- |:---:
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char_cnn | 93.80/95.12 | - | - |- |
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dpcnn | 95.50/97.36 | - | - |- |
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HAN |- | - | - |-|
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LSTM| 95.74/- |- |- |88.52/-|
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AWD-LSTM| 95.96/- |- |- |88.91/-|
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LSTM+self_attention| 96.34/- | - | - |89.53/-|
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