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BERTweet: A pre-trained language model for English Tweets

2020-05-20 17:05:57
Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen
arXiv_CL
               
Abstract

We present BERTweet, the first public large-scale pre-trained language model for English Tweets. Our BERTweet is trained using the RoBERTa pre-training procedure (Liu et al., 2019), with the same model configuration as BERT-base (Devlin 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 to facilitate future research and downstream applications on Tweet data. Our BERTweet is available at: this https URL

Abstract (translated)

URL

https://arxiv.org/abs/2005.10200

PDF

https://arxiv.org/pdf/2005.10200.pdf

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