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flair-clef-hipe-german-base

Token Classification Flair PyTorch German sequence-tagger-model
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readme: add links to figures

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@@ -38,10 +38,10 @@ For model upload, we choose the best model on development score: 82.56 with a co
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  The following figure shows the results with different context sized (on development dataset):
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- <link>
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  We perform "Almost Stochastic Order" tests as proposed in the
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  ["Deep Dominance - How to Properly Compare Deep Neural Models"](https://www.aclweb.org/anthology/P19-1266/) paper.
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  The heatmap figure is heavily inspired by the ["CharacterBERT"](https://arxiv.org/abs/2010.10392) paper.
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- <link>
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  The following figure shows the results with different context sized (on development dataset):
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+ ![German CLEF-HIPE Development Results](figures/clef_hipe_f1_score_development.png)
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  We perform "Almost Stochastic Order" tests as proposed in the
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  ["Deep Dominance - How to Properly Compare Deep Neural Models"](https://www.aclweb.org/anthology/P19-1266/) paper.
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  The heatmap figure is heavily inspired by the ["CharacterBERT"](https://arxiv.org/abs/2010.10392) paper.
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+ ![Almost Stochastic Order Tests on Development set](figures/clef_hipe_asd_development.png)