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README.md

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@@ -128,7 +128,7 @@ Category of areas is based on tracks in ACL 2018
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- Dataset
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- [CNN/DailyMail](https://cs.nyu.edu/~kcho/DMQA/)
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- [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/)
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- Benchmark: 86.967(F1)[BERT + Synthetic Self-Training (ensemble)](https://github.com/google-research/bert) *Jan 10, 2019*
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- Benchmark: 86.967(F1) [BERT + Synthetic Self-Training (ensemble)](https://github.com/google-research/bert) *Jan 10, 2019*
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### Resources and Evaluation
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