加利西亚语的BERT模型（基础版）

这是一个基础的BERT模型（12层，大小写敏感），用于加利西亚语（ILG/RAG拼写）。它经过了 dataset to identify homonymy and synonymy in context 的词汇语义任务评估，并在ACL 2021上进行了展示。

还有一个小型版本（6层，大小写敏感）：marcosgg/bert-small-gl-cased

引用

如果您使用了这个模型，请引用以下 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"
}