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README.md

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 # WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER
-This is the model card for the EMNLP 2021 paper [WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER](https://aclanthology.org/2021.findings-emnlp.215/). In a nutshell, WikiNEuRal consists in a novel technique which builds upon a multilingual lexical knowledge base (i.e., BabelNet) and transformer-based architectures (i.e., BERT) to produce high-quality annotations for multilingual NER. We then fine-tuned a multilingual language model (mBERT) for 3 epochs on the resulting WikiNEuRal dataset. The system supports the 9 languages covered by WikiNEuRal (de, en, es, fr, it, nl, pl, pt, ru), and it was trained on all 9 languages jointly. **If you use the model, please reference this work in your paper**:
+This is the model card for the EMNLP 2021 paper [WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER](https://aclanthology.org/2021.findings-emnlp.215/). In a nutshell, WikiNEuRal consists in a novel technique which builds upon a multilingual lexical knowledge base (i.e., BabelNet) and transformer-based architectures (i.e., BERT) to produce high-quality annotations for multilingual NER. We then fine-tuned a multilingual language model (mBERT) for 3 epochs on the resulting WikiNEuRal dataset. The system supports the 9 languages covered by WikiNEuRal (de, en, es, fr, it, nl, pl, pt, ru), and it was trained on all 9 languages jointly.
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+**If you use the model, please reference this work in your paper**:
 
 ```bibtex
 @inproceedings{tedeschi-etal-2021-wikineural-combined,