BramVanroy
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README.md
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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
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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)
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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,
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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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