BERTweet: A pre-trained language model for English Tweets

Code

• github.com/VinAIResearch/BERTweet
  OfficialIn paperpytorch★ 606
• github.com/cardiffnlp/tweeteval
  none★ 395
• github.com/2024-MindSpore-1/Code2/tree/main/model-1/bertweet
  mindspore★ 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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Reproductions