# 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"
}

New

Select AutoNLP in the “Train” menu to fine-tune this model automatically.

Mask token: [MASK]