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Paper · 2003.00744 · EMNLP Findings · 2020

PhoBERT: Pre-trained language models for Vietnamese

Anh Nguyen, Dat Nguyen

arXiv · PDF · Open in the Atlas

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Abstract

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.

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