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camilaalves/romance-coreference-mdeberta-v3-base
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This repository contains the selected checkpoints of the Romance multilingual coreference resolution model developed for the MSc thesis Coreference in Context: Portuguese Evaluation of Multilingual and Monolingual Mod…
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Updated Sep 12, 2026
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From the Hugging Face model README
This repository contains the selected checkpoints of the Romance multilingual coreference resolution model developed for the MSc thesis Coreference in Context: Portuguese Evaluation of Multilingual and Monolingual Models.
The model follows a span-ranking coreference resolution architecture and uses
microsoft/mdeberta-v3-base as its pretrained multilingual Transformer encoder.
The model was jointly trained on six Romance-language coreference datasets:
The same jointly trained model is evaluated on each dataset. The checkpoint used for each final evaluation was selected on the corresponding development set.
| Dataset | Selected epoch | Threshold |
|---|---|---|
| Coref-PT | 38 | 0.0 |
| Spanish AnCora | 39 | 0.0 |
| Catalan AnCora | 39 | 0.0 |
| French ANCOR | 20 | 0.0 |
| French Democrat | 28 | 0.0 |
| OntoCorefIT | 17 | 0.0 |
Because Spanish AnCora and Catalan AnCora selected the same epoch, five unique checkpoint files are provided.
checkpoint_epoch_17.ptcheckpoint_epoch_20.ptcheckpoint_epoch_28.ptcheckpoint_epoch_38.ptcheckpoint_epoch_39.ptThese files are PyTorch checkpoints produced by the custom coreference resolution
implementation used in the thesis. They are not intended to be loaded directly
with AutoModel.from_pretrained().
The corresponding implementation and experimental configuration should be used to reproduce inference and evaluation.
Coreference resolution is evaluated using MUC, B³, CEAF-e and their average, CoNLL F1.
If you use this model, please cite:
Camila Alves. Coreference in Context: Portuguese Evaluation of Multilingual and Monolingual Models. MSc thesis, University of Porto, 2026.