Evaluating BERT's Encoding of Intrinsic Semantic Features of OCR'd Digital Library Collections

The uncertainty caused by optical character recognition (OCR) noise has been a primary barrier for digital libraries (DL) to promote their curated datasets for research purposes, particularly when the datasets are fed into advanced language models with less transparency. To shed some light on this issue, this study evaluates the impacts of OCR noise on BERT models for encoding the intrinsic semant...