DapBERT is a BERT-like model trained based on the domain adaptive pretraining method (
Gururangan et al.) for the patent domain. Bert-base-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.
