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da_dacy_medium_trf_1.0.0

Token Classification
spaCy
Danish
dacy
danish
Eval Results (legacy)
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `da_dacy_medium_trf` |
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  | **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser`, `ner` |
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  | **Components** | `transformer`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser`, `ner` |
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  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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- | **Sources** | [UD Danish DDT](https://github.com/UniversalDependencies/UD_Danish-DDT) (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara)<br>[DaCoref](https://huggingface.co/datasets/alexandrainst/dacoref) (Buch-Kromann, Matthias)<br>[DaNE](https://huggingface.co/datasets/dane) (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard)<br>[vesteinn/ScandiBERT-no-faroese](https://huggingface.co/vesteinn/ScandiBERT-no-faroese) (Vésteinn Snæbjarnarson) |
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  | **License** | `Apache-2.0` |
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  | **Author** | [Johana Mayerová](https://huggingface.co/johanamayer), [Mikkel Krøjer Svendsen](https://huggingface.co/CogSciMikkel), [Kenneth Enevoldsen](https://huggingface.co/KennethEnevoldsen) |
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  metrics:
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  - accuracy
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  ---
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+ <a href="https://github.com/centre-for-humanities-computing/Dacy"><img src="https://centre-for-humanities-computing.github.io/DaCy/_static/icon.png" width="175" height="175" align="right" /></a>
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+ # DaCy Medium
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+ DaCy is a Danish language processing framework with state-of-the-art pipelines as well as functionality for analysing Danish pipelines.
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+ This model is the **medium Dacy pipeline**, trained for Danish linguistic annotation and downstream NLP tasks.
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+ To read more, check out the [DaCy repository](https://github.com/centre-for-humanities-computing/DaCy) for material on how to use DaCy and reproduce the results.
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+ DaCy also contains guides on usage of the package as well as behavioural test for biases and robustness of Danish NLP pipelines.
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `da_dacy_medium_trf` |
 
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  | **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser`, `ner` |
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  | **Components** | `transformer`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser`, `ner` |
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  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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+ | **Sources** | [UD Danish DDT v2.18](https://github.com/UniversalDependencies/UD_Danish-DDT) (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara)<br>[DaCoref](https://huggingface.co/datasets/alexandrainst/dacoref) (Buch-Kromann, Matthias)<br>[DaNE](https://huggingface.co/datasets/dane) (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard)<br>[vesteinn/ScandiBERT-no-faroese](https://huggingface.co/vesteinn/ScandiBERT-no-faroese) (Vésteinn Snæbjarnarson) |
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  | **License** | `Apache-2.0` |
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  | **Author** | [Johana Mayerová](https://huggingface.co/johanamayer), [Mikkel Krøjer Svendsen](https://huggingface.co/CogSciMikkel), [Kenneth Enevoldsen](https://huggingface.co/KennethEnevoldsen) |
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