BERTweet: A pre-trained language model for English Tweets

• URL: http://arxiv.org/abs/2005.10200v2
• Date: Mon, 5 Oct 2020 10:00:24 GMT
• Title: BERTweet: A pre-trained language model for English Tweets
• Authors: Dat Quoc Nguyen, Thanh Vu and Anh Tuan Nguyen
• Abstract summary: We present BERTweet, the first public large-scale pre-trained language model for English Tweets. BERTweet is trained using the RoBERTa pre-training procedure. We release BERTweet under the MIT License to facilitate future research and applications on Tweet data.
• Score: 14.575661723724005
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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. Our BERTweet is available at https://github.com/VinAIResearch/BERTweet

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