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ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing (EMNLP'2023)

ViSoBERT is the state-of-the-art language model for Vietnamese social media tasks:

  • ViSoBERT is the first monolingual MLM (XLM-R architecture) built from scratch specifically for Vietnamese social media text.
  • ViSoBERT outperforms previous monolingual, multilingual, and multilingual social media approaches, obtaining new state-of-the-art performances on four downstream Vietnamese social media tasks.

The general architecture and experimental results of ViSoBERT can be found in our paper:

@inproceedings{
anonymous2023plmvismt,
title={{PLM}4Vi{SMT}: A Pre-Trained Language Model for Vietnamese Social Media Text Processing},
author={Anonymous},
booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
year={2023},
url={https://openreview.net/forum?id=gqkg54QNDY}
}

Please CITE our paper when ViSoBERT is used to help produce published results or is incorporated into other software.