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BERTweet:A pre-trained language model for English Tweets - 2020

Research Area:  Machine Learning

Abstract:

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.

Author(s) Name:  Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen

Journal name:  Computer Science

Conferrence name:  

Publisher name:  arXiv:2005.10200

DOI:  10.48550/arXiv.2005.10200

Volume Information: