PhoBERT: Pre-trained language models for Vietnamese
Abstract
We present PhoBERT with two versions, <PRE_TAG>PhoBERT-base</POST_TAG> and <PRE_TAG>PhoBERT-large</POST_TAG>, 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
Models citing this paper 6
Browse 6 models citing this paperDatasets citing this paper 0
No dataset linking this paper
Spaces citing this paper 16
Collections including this paper 0
No Collection including this paper