PhoBERT: Pre-trained language models for Vietnamese

Anh Tuan Nguyen; Dat Quoc Nguyen

PhoBERT: Pre-trained language models for Vietnamese

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arxiv 2003.00744 v3 pith:WANURUME submitted 2020-03-02 cs.CL cs.AI

Dat Quoc Nguyen , Anh Tuan Nguyen This is my paper · ORCID

classification cs.CLcs.AI

keywords phobertlanguagemodelspre-trainedvietnameseapplicationsavailablebest

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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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