We present PhoBERT with two versions, PhoBERT-base and PhoBERT-large, the first public large-scale monolingual language models pre-trained for Vietnamese. Experimental results show that PhoBERT consistently outperforms the recent best pre-trained multilingual model XLM-R (Conneau et al., 2020) and improves the state-of-the-art in multiple Vietnamese-specific NLP tasks including Part-of-speech tagging, Dependency parsing, Named-entity recognition and Natural language inference. We release PhoBERT to facilitate future research and downstream applications for Vietnamese NLP. Our PhoBERT models are available at https://github.com/VinAIResearch/PhoBERT
@article{arxiv.2003.00744,
title = {PhoBERT: Pre-trained language models for Vietnamese},
author = {Dat Quoc Nguyen and Anh Tuan Nguyen},
journal= {arXiv preprint arXiv:2003.00744},
year = {2020}
}