Corpus ID: 85518318

SciBERT: Pretrained Contextualized Embeddings for Scientific Text

@article{Beltagy2019SciBERTPC,
  title={SciBERT: Pretrained Contextualized Embeddings for Scientific Text},
  author={Iz Beltagy and Arman Cohan and Kyle Lo},
  journal={ArXiv},
  year={2019},
  volume={abs/1903.10676}
}
Obtaining large-scale annotated data for NLP tasks in the scientific domain is challenging and expensive. We release SciBERT, a pretrained contextualized embedding model based on BERT (Devlin et al., 2018) to address the lack of high-quality, large-scale labeled scientific data. SciBERT leverages unsupervised pretraining on a large multi-domain corpus of scientific publications to improve performance on downstream scientific NLP tasks. We evaluate on a suite of tasks including sequence tagging… Expand
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