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# Model Card for SpaBERT for Semantic Role Labeling (cased)
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This model is fine-tuned on a version of [multilingual BERT](https://huggingface.co/bert-base-multilingual-cased) which is pre-trained on the SRL task for English, and is one of 24 models introduced as part of [this project](https://github.com/mbruton0426/GalicianSRL).
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### Model Description
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SpaBERT for Semantic Role Labeling (SRL) is a transformers model, leveraging mBERT's extensive pretraining on 104 languages to achieve better SRL predictions for Spanish. This model is additionally pre-trained on the SRL task for English. It was fine-tuned on Spanish with the following objectives:
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- Identify up to 16 verbal roots within a sentence.
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- Identify available arguments and thematic roles for each verbal root.
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pipeline_tag: token-classification
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# Model Card for SpaBERT-en for Semantic Role Labeling (cased)
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This model is fine-tuned on a version of [multilingual BERT](https://huggingface.co/bert-base-multilingual-cased) which is pre-trained on the SRL task for English, and is one of 24 models introduced as part of [this project](https://github.com/mbruton0426/GalicianSRL).
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### Model Description
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SpaBERT-en for Semantic Role Labeling (SRL) is a transformers model, leveraging mBERT's extensive pretraining on 104 languages to achieve better SRL predictions for Spanish. This model is additionally pre-trained on the SRL task for English. It was fine-tuned on Spanish with the following objectives:
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- Identify up to 16 verbal roots within a sentence.
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- Identify available arguments and thematic roles for each verbal root.
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