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Update SUBJ SOTA (sebastianruder#136)
Added 3 new papers for SUBJ dataset
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english/sentiment_analysis.md

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@@ -122,6 +122,9 @@ A related task to sentiment analysis is the subjectivity analysis with the goal
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| Model | Accuracy | Paper / Source |
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| ------------- | :-----:| --- |
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| AdaSent (Zhao et al., 2015) | 95.50 | [Self-Adaptive Hierarchical Sentence Model](https://arxiv.org/pdf/1504.05070.pdf) |
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| CNN+MCFA (Amplayo et al., 2018) | 94.80 | [Translations as Additional Contexts for Sentence Classification](https://arxiv.org/abs/1806.05516) |
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| Byte mLSTM (Radford et al., 2017) | 94.60 | [Learning to Generate Reviews and Discovering Sentiment](https://arxiv.org/pdf/1704.01444.pdf) |
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| USE (Cer et al., 2018) | 93.90 | [Universal Sentence Encoder](https://arxiv.org/pdf/1803.11175.pdf) |
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| Fast Dropout (Wang and Manning, 2013) | 93.60 | [Fast Dropout Training](http://proceedings.mlr.press/v28/wang13a.pdf) |
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