Edit model card

BERT for Galician (Base)

This is a base pre-trained BERT model (12 layers, cased) for Galician (ILG/RAG spelling). It was evaluated on lexical semantics tasks, using a dataset to identify homonymy and synonymy in context, and presented at ACL 2021.

There is also a small version (6 layers, cased): marcosgg/bert-small-gl-cased

Citation

If you use this model, please cite the following paper:

@inproceedings{garcia-2021-exploring,
    title = "Exploring the Representation of Word Meanings in Context: {A} Case Study on Homonymy and Synonymy",
    author = "Garcia, Marcos",
    booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
    year = "2021",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.acl-long.281",
    doi = "10.18653/v1/2021.acl-long.281",
    pages = "3625--3640"
}
Downloads last month
298
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.