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README.md
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@@ -60,12 +60,6 @@ To use the full SRL model (transformers portion + a decoding layer), refer to th
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- The models were trained only for 5 epochs.
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- The English data was preprocessed to match the Portuguese data, so there are some differences in role attributions and some roles were removed from the data.
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## Training data
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Pretrained weights were left identical to the original model [`xlm-roberta-base`](https://huggingface.co/xlm-roberta-base). A randomly initialized embeddings layer for "token_type_ids" was added.
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## Training procedure
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The models were trained on the CoNLL-2012 dataset, preprocessed to match the Portuguese PropBank.Br data. They were tested on the PropBank.Br data set as well as on a smaller opinion dataset "Buscapé". For more information, please see the accompanying article (See BibTeX entry and citation info below) and the [project's github](https://github.com/asofiaoliveira/srl_bert_pt).
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- The models were trained only for 5 epochs.
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- The English data was preprocessed to match the Portuguese data, so there are some differences in role attributions and some roles were removed from the data.
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## Training procedure
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The models were trained on the CoNLL-2012 dataset, preprocessed to match the Portuguese PropBank.Br data. They were tested on the PropBank.Br data set as well as on a smaller opinion dataset "Buscapé". For more information, please see the accompanying article (See BibTeX entry and citation info below) and the [project's github](https://github.com/asofiaoliveira/srl_bert_pt).
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