Published April 6, 2023
| Version 1.0
Dataset
Open
Line-level Named Entity Recognition annotation for the George Washington and IAM datasets
Description
Line-level Named Entity annotation for the George Washington and IAM datasets. The word-level annotations from Oliver Tüselmann [3] were extended to line-level to enable experimentation with line-level coupled HTR+NER models. We also publish the line-level partition files that result from the partition proposed by [3].
Notes
GitHub with some experiments on these datasets: https://github.com/DVillanova/HTR-NER
Files
gw.zip
Additional details
References
- Tjong Kim Sang, E.F., Buchholz, S.: Introduction to the CoNLL-2000 shared task chunking. In: Fourth Conference on Computational Natural Language Learning and the Second Learning Language in Logic Workshop. pp. 127–132 (2000
- Marti, U.V., Bunke, H.: The iam-database: an english sentence database for of- fline handwriting recognition. International Journal on Document Analysis and Recognition 5(1), 39–46 (2002)
- T ̈uselmann, O., Wolf, F., Fink, G.A.: Are end-to-end systems really necessary for ner on handwritten document images? In: Llad ́os, J., Lopresti, D., Uchida, S. (eds.) Document Analysis and Recognition – ICDAR 2021. pp. 808–822. Springer International Publishing, Cham (2021