liaad
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ud_srl-enpt_xlmr-large

Feature Extraction

xlm-roberta-large

semantic role labeling

dependency parsing

Inference Endpoints

text-embeddings-inference

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sofiaoliveira commited on Jan 12, 2021

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@@ -63,7 +63,7 @@ To use the full SRL model (transformers portion + a decoding layer), refer to th
 ## Training procedure
-The models were trained on the Universal Dependencies Portuguese dataset; then on the CoNLL formatted OntoNotes v5.0; then on Portuguese semantic role labeling data (PropBank.Br) using Cross-Validation. They were tested on the folds 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).
 ## Eval results

 ## Training procedure
+The model was trained on the Universal Dependencies Portuguese dataset; then on the CoNLL formatted OntoNotes v5.0; then on Portuguese semantic role labeling data (PropBank.Br) using 10-fold Cross-Validation. The 10 resulting models were tested on the folds 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).
 ## Eval results