liaad
/

ud_srl-pt_bertimbau-large

Feature Extraction

bert-large-portuguese-cased

semantic role labeling

dependency parsing

Inference Endpoints

text-embeddings-inference

Model card Files Files and versions Community

sofiaoliveira commited on Jan 12, 2021

Commit

467f275

•

1 Parent(s): a0c1e67

Update README.md

Files changed (1) hide show

README.md +1 -2

README.md CHANGED Viewed

@@ -58,10 +58,9 @@ To use the full SRL model (transformers portion + a decoding layer), refer to th
 - The model was trained only for 10 epochs in the Universal Dependencies dataset.
 ## Training procedure
-The model was trained on the Universal Dependencies Portuguese dataset; 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

 - The model was trained only for 10 epochs in the Universal Dependencies dataset.
 ## 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