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@@ -11,7 +11,7 @@ language:
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  ## Pretrained juridical BERT model for Romanian
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  BERT Romanian juridical model trained using a masked language modeling (MLM) and next sentence prediction (NSP) objective.
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- It was introduced in this [paper](TODO). Two BERT models were released: **jurBERT-base** and **jurBERT-large**, all versions uncased.
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  | Model | Weights | L | H | A | MLM accuracy | NSP accuracy |
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  |----------------|:---------:|:------:|:------:|:------:|:--------------:|:--------------:|
@@ -98,7 +98,7 @@ We report Mean AUC and Std AUC on the task of predicting the outcome of a case.
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  | *jurBERT-base* | *59.65* | *1.16* |
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  | *jurBERT-base + hf* | **61.46**| **1.76** |
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- For complete results and discussion please refer to the [paper](TODO).
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  ### BibTeX entry and citation info
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  ## Pretrained juridical BERT model for Romanian
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  BERT Romanian juridical model trained using a masked language modeling (MLM) and next sentence prediction (NSP) objective.
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+ It was introduced in this [paper](https://aclanthology.org/2021.nllp-1.8/). Two BERT models were released: **jurBERT-base** and **jurBERT-large**, all versions uncased.
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  | Model | Weights | L | H | A | MLM accuracy | NSP accuracy |
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  |----------------|:---------:|:------:|:------:|:------:|:--------------:|:--------------:|
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  | *jurBERT-base* | *59.65* | *1.16* |
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  | *jurBERT-base + hf* | **61.46**| **1.76** |
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+ For complete results and discussion please refer to the [paper](https://aclanthology.org/2021.nllp-1.8/).
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  ### BibTeX entry and citation info
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