We present BERTweet, the first public large-scale pre-trained language model for English Tweets. Our BERTweet, having the same architecture as BERT-base (Devlin et al., 2019), is trained using the RoBERTa pre-training procedure (Liu et al., 2019). Experiments show that BERTweet outperforms strong baselines RoBERTa-base and XLM-R-base (Conneau et al., 2020), producing better performance results than the previous state-of-the-art models on three Tweet NLP tasks: Part-of-speech tagging, Named-entity recognition and text classification. We release BERTweet under the MIT License to facilitate future research and applications on Tweet data. Our BERTweet is available at https://github.com/VinAIResearch/BERTweet
@article{arxiv.2005.10200,
title = {BERTweet: A pre-trained language model for English Tweets},
author = {Dat Quoc Nguyen and Thanh Vu and Anh Tuan Nguyen},
journal= {arXiv preprint arXiv:2005.10200},
year = {2020}
}
Comments
In Proceedings of EMNLP 2020: System Demonstrations