add lexcion ner
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README.md
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README.md
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## Papers
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- [ACL2020信息抽取相关论文汇总](https://github.com/loujie0822/DeepIE/blob/master/docs/ACL2020信息抽取相关论文汇总.md)
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- [IJCAI2020_信息抽取相关论文合集](https://github.com/loujie0822/DeepIE/blob/master/docs/IJCAI2020_%E4%BF%A1%E6%81%AF%E6%8A%BD%E5%8F%96%E7%9B%B8%E5%85%B3%E8%AE%BA%E6%96%87%E5%90%88%E9%9B%86%20.md)
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- [IJCAI2020信息抽取相关论文汇总](https://github.com/loujie0822/DeepIE/blob/master/docs/IJCAI2020_%E4%BF%A1%E6%81%AF%E6%8A%BD%E5%8F%96%E7%9B%B8%E5%85%B3%E8%AE%BA%E6%96%87%E5%90%88%E9%9B%86%20.md)
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- [2019各顶会中的关系抽取论文汇总](https://github.com/loujie0822/DeepIE/blob/master/docs/2019各顶会中的关系抽取论文]汇总.md)
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- [事件抽取论文汇总](https://github.com/loujie0822/DeepIE/blob/master/docs/事件抽取论文汇总.md)
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- [历年来NER论文汇总](https://github.com/loujie0822/DeepIE/blob/master/docs/历年来NER论文汇总.md)
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#### 1. 实体抽取
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- **各主流方法在主要中文NER数据集上的表现情况** [具体说明](https://github.com/loujie0822/DeepIE/blob/master/docs/各主流方法在中文NER上的表现情况.md)
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| | **lexicon** | **Ontonotes** | **MSRA** | **Resume** | **Weibo** |
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| -------------- | ----------- | ------------- | --------- | ---------- | --------- |
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| biLSTM | ---- | 71.81 | 91.87 | 94.41 | 56.75 |
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| Lattice LSTM | 词表1 | 73.88 | 93.18 | 94.46 | 58.79 |
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| WC-LSTM | 词表1 | 74.43 | 93.36 | 94.96 | 49.86 |
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| LR-CNN | 词表1 | 74.45 | 93.71 | 95.11 | 59.92 |
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| CGN | 词表2 | 74.79 | 93.47 | 94.12 | 63.09 |
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| LGN | 词表1 | 74.85 | 93.63 | 95.41 | 60.15 |
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| Simple-Lexicon | 词表1 | 75.54 | 93.50 | **95.59** | 61.24 |
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| FLAT | 词表1 | **76.45** | 94.12 | 95.45 | 60.32 |
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| FLAT | 词表2 | 75.70 | **94.35** | 94.93 | **63.42** |
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| BERT | ---- | 80.14 | 94.95 | 95.53 | 68.20 |
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| BERT+FLAT | 词表1 | **81.82** | **96.09** | **95.86** | **68.55** |
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- **MSRA-NER**
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| 方法 | f | p | r |
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