Word-Level Alignment of Paper Documents with their Electronic Full-Text Counterparts
Computation and Language
2021-05-03 v1
Abstract
We describe a simple procedure for the automatic creation of word-level alignments between printed documents and their respective full-text versions. The procedure is unsupervised, uses standard, off-the-shelf components only, and reaches an F-score of 85.01 in the basic setup and up to 86.63 when using pre- and post-processing. Potential areas of application are manual database curation (incl. document triage) and biomedical expression OCR.
Cite
@article{arxiv.2104.14925,
title = {Word-Level Alignment of Paper Documents with their Electronic Full-Text Counterparts},
author = {Mark-Christoph Müller and Sucheta Ghosh and Ulrike Wittig and Maja Rey},
journal= {arXiv preprint arXiv:2104.14925},
year = {2021}
}
Comments
to appear in Proceedings of BioNLP 2021