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  # EN, ES and NL to AMR parsing (stratified)
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  This version was trained on a subselection of the data. The AMR 3.0 corpus was translated to all the relevant languages. We then divided the dataset so
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- that in total we only see a third of the each language's dataset (so that in total we only see the full AMR 3.0 corpus in size once). In other words,
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  all languages were undersampled for research purposes.
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  This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on the None dataset.
 
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  # EN, ES and NL to AMR parsing (stratified)
10
 
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  This version was trained on a subselection of the data. The AMR 3.0 corpus was translated to all the relevant languages. We then divided the dataset so
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+ that in total we only see a third of each language's dataset (so that in total we only see the full AMR 3.0 corpus in size once). In other words,
13
  all languages were undersampled for research purposes.
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  This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on the None dataset.