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--- |
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language: |
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- de |
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base_model: |
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- LSX-UniWue/ModernGBERT_1B |
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--- |
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# Maverick Coref Model DROC |
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This is the Maverick corefernce model trained with German literary texts (specifically DROC). |
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To use it install `pip install maverick-coref-de` |
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Now running the model is as easy as: |
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```python |
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from maverick_de import Maverick |
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model = Maverick( |
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hf_name_or_path="uhhlt/droc-singletons", |
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device="cuda", |
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) |
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print(model.predict("Es war einmal eine kleine süße Dirne, die hatte jedermann lieb, der sie nur ansah, am allerliebsten aber ihre Großmutter, die wußte gar nicht, was sie alles dem Kinde geben sollte.")) |
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``` |
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If you make use of this model in your work we would love for you to cite our paper: |
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``` |
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@inproceedings{petersen-frey-etal-2025-efficient, |
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title = "Efficient and Effective Coreference Resolution for {G}erman", |
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author = "Petersen-Frey, Fynn and |
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Hatzel, Hans Ole and |
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Biemann, Chris", |
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editor = "Wartena, Christian and |
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Heid, Ulrich", |
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booktitle = "Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers", |
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month = sep, |
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year = "2025", |
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address = "Hannover, Germany", |
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publisher = "HsH Applied Academics", |
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url = "https://aclanthology.org/2025.konvens-1.12/", |
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pages = "128--137" |
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} |
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``` |
