metadata

language:
  - ca
license: apache-2.0
tags:
  - catalan
  - named entity recognition
  - ner
  - CaText
  - Catalan Textual Corpus
datasets:
  - projecte-aina/ancora-ca-ner
metrics:
  - f1
model-index:
  - name: roberta-base-ca-cased-te
    results:
      - task:
          type: token-classification
        dataset:
          type: projecte-aina/ancora-ca-ner
          name: ancora-ca-ner
        metrics:
          - type: f1
            value: 0.8963029756537422
widget:
  - text: Em dic Lluïsa i visc a Santa Maria del Camí.
  - text: L'Aina, la Berta i la Norma són molt amigues.
  - text: El Martí llegeix el Cavall Fort.

Catalan BERTa (RoBERTa-base) finetuned for Named Entity Recognition.

The roberta-base-ca-cased-ner is a Named Entity Recognition (NER) model for the Catalan language fine-tuned from the BERTa model, a RoBERTa base model pre-trained on a medium-size corpus collected from publicly available corpora and crawlers (check the BERTa model card for more details).

Datasets

We used the NER dataset in Catalan called Ancora-ca-ner for training and evaluation.

Evaluation and results

We evaluated the roberta-base-ca-cased-tc on the Ancora-ca-ner test set against standard multilingual and monolingual baselines:

Model	Ancora-ca-ner (F1)
roberta-base-ca-cased-ner	89.63
mBERT	86.38
XLM-RoBERTa	87.66
WikiBERT-ca	77.66

For more details, check the fine-tuning and evaluation scripts in the official GitHub repository.

Citing

If you use any of these resources (datasets or models) in your work, please cite our latest paper:

@inproceedings{armengol-estape-etal-2021-multilingual,
    title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",
    author = "Armengol-Estap{\'e}, Jordi  and
      Carrino, Casimiro Pio  and
      Rodriguez-Penagos, Carlos  and
      de Gibert Bonet, Ona  and
      Armentano-Oller, Carme  and
      Gonzalez-Agirre, Aitor  and
      Melero, Maite  and
      Villegas, Marta",
    booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.findings-acl.437",
    doi = "10.18653/v1/2021.findings-acl.437",
    pages = "4933--4946",
}