模型:
marcosgg/bert-small-gl-cased
这是一个为加利西亚语(ILG/RAG拼写)提供的小型预训练 BERT 模型(6层,大写)。它在词汇语义任务上进行了评估,使用了一个 dataset to identify homonymy and synonymy in context 数据集,并在 ACL 2021 上进行了展示。
还有一个基础版本(12层,大写):marcosgg/bert-base-gl-cased
如使用此模型,请引用以下内容: 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"
}