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@@ -23,7 +23,7 @@ GalBERT for Semantic Role Labeling (SRL) is a transformers model, leveraging mBE
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  - Identify up to 13 verbal roots within a sentence.
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  - Identify available arguments for each verbal root. Due to scarcity of data, this model focused solely on the identification of arguments 0, 1, and 2.
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- Labels are produced as the following: r#:tag, where r# links the token to a specific verbal root of index #, and tag identifies the token as the verbal root (root) or an individual argument (arg0/arg1/arg2)
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  - **Developed by:** [Micaella Bruton](mailto:micaellabruton@gmail.com)
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  - **Model type:** Transformers
 
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  - Identify up to 13 verbal roots within a sentence.
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  - Identify available arguments for each verbal root. Due to scarcity of data, this model focused solely on the identification of arguments 0, 1, and 2.
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+ Labels are formatted as: r#:tag, where r# links the token to a specific verbal root of index #, and tag identifies the token as the verbal root (root) or an individual argument (arg0/arg1/arg2)
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  - **Developed by:** [Micaella Bruton](mailto:micaellabruton@gmail.com)
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  - **Model type:** Transformers