@inproceedings{nguyen-tuan-nguyen-2020-phobert,
title = "{P}ho{BERT}: Pre-trained language models for {V}ietnamese",
author = "Nguyen, Dat Quoc and
Tuan Nguyen, Anh",
editor = "Cohn, Trevor and
He, Yulan and
Liu, Yang",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.findings-emnlp.92",
doi = "10.18653/v1/2020.findings-emnlp.92",
pages = "1037--1042",
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 \url{https://github.com/VinAIResearch/PhoBERT}",
}
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%0 Conference Proceedings
%T PhoBERT: Pre-trained language models for Vietnamese
%A Nguyen, Dat Quoc
%A Tuan Nguyen, Anh
%Y Cohn, Trevor
%Y He, Yulan
%Y Liu, Yang
%S Findings of the Association for Computational Linguistics: EMNLP 2020
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F nguyen-tuan-nguyen-2020-phobert
%X 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
%R 10.18653/v1/2020.findings-emnlp.92
%U https://aclanthology.org/2020.findings-emnlp.92
%U https://doi.org/10.18653/v1/2020.findings-emnlp.92
%P 1037-1042
Markdown (Informal)
[PhoBERT: Pre-trained language models for Vietnamese](https://aclanthology.org/2020.findings-emnlp.92) (Nguyen & Tuan Nguyen, Findings 2020)
ACL