Papers › PhoBERT: Pre-trained language models for Vietnamese

PhoBERT: Pre-trained language models for Vietnamese

2 Mar 2020Findings of the Association for Computational Linguistics 2020arXiv:2003.00744archive 2025-07-28

Dat Quoc Nguyen, Anh Tuan Nguyen

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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VinAIResearch/PhoBERT officialmentioned in papermentioned on GitHubpytorchMIT report

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Tasks

Dependency ParsingNamed Entity RecognitionNamed Entity Recognition (NER)Natural Language InferencePart-Of-Speech TaggingVietnamese Language ModelsXLM-Rnamed-entity-recognition

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Methods

XLM-R

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