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Update docs [ci skip]
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@ -28,7 +28,7 @@ on training Stanza on this corpus to allow direct comparison.
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| System | POS | UAS | LAS |
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| ------------------------------------------------------------------------------ | ---: | ---: | ---: |
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| spaCy RoBERTa (2020) | | | |
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| spaCy RoBERTa (2020) | 97.8 | 96.6 | 94.7 |
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| spaCy CNN (2020) | | | |
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| [Mrini et al.](https://khalilmrini.github.io/Label_Attention_Layer.pdf) (2019) | 97.3 | 97.4 | 96.3 |
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| [Zhou and Zhao](https://www.aclweb.org/anthology/P19-1230/) (2019) | 97.3 | 97.2 | 95.7 |
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@ -37,7 +37,8 @@ on training Stanza on this corpus to allow direct comparison.
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**Accuracy on the Penn Treebank.** See
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[NLP-progress](http://nlpprogress.com/english/dependency_parsing.html) for more
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results.
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results. For spaCy's evaluation, see the
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[project template](https://github.com/explosion/projects/tree/v3/benchmarks/parsing_penn_treebank).
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</figcaption>
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