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model card

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Kai Labusch 2 years ago
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doc/sbb_ner_model_card.md
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@ -132,7 +132,6 @@ The general observation that historical texts often remain silent and avoid nami
<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
Three datasets were used:
1) CoNLL 2003 German Named Entity Recognition Ground Truth (Tjong Kim Sang and De Meulder, 2003) 1) CoNLL 2003 German Named Entity Recognition Ground Truth (Tjong Kim Sang and De Meulder, 2003)
2) GermEval Konvens 2014 Shared Task Data (Benikova et al., 2014) 2) GermEval Konvens 2014 Shared Task Data (Benikova et al., 2014)
3) DC-SBB Digital Collections of the Berlin State Library (Labusch and Zellhöfer, 2019) 3) DC-SBB Digital Collections of the Berlin State Library (Labusch and Zellhöfer, 2019)

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