readme: ---
  license: mit
  ---
  ### dapSciBERT
  
  DapSciBERT is a BERT-like model trained based on the domain adaptive pretraining method ([Gururangan et al.](https://aclanthology.org/2020.acl-main.740/)) for the patent domain. Allenai/scibert_scivocab_uncased is used as base for the training. The training dataset used consists of a corpus of 10,000,000
  patent abstracts that have been filed between 1998-2020 in US and European patent offices as well as the World Intellectual Property Organization.