Reading Order Independent Metrics for Information Extraction in Handwritten Documents-Reference-Cited by-同舟云学术

Reading Order Independent Metrics for Information Extraction in Handwritten Documents

Published:2024 Issue: Volume: Page:191-215
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Villanova-Aparisi David^ORCID,Tarride Solène^ORCID,Martínez-Hinarejos Carlos-D.^ORCID,Romero Verónica^ORCID,Kermorvant Christopher^ORCID,Pastor-Gadea Moisés

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-70536-6_12

Reference39 articles.

1. Abadie, N., Carlinet, E., Chazalon, J., Duménieu, B.: A benchmark of named entity recognition approaches in historical documents application to 19th century French directories. In: Uchida, S., Barney, E., Eglin, V. (eds.) Document Analysis Systems, pp. 445–460. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-06555-2_30

2. Boroş, E., et al.: A comparison of sequential and combined approaches for named entity recognition in a corpus of handwritten medieval charters. In: 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp. 79–84. IEEE (2020)

3. Carbonell, M., Villegas, M., Fornés, A., Lladós, J.: Joint recognition of handwritten text and named entities with a neural end-to-end model. In: 2018 13th IAPR International Workshop on Document Analysis Systems (DAS), pp. 399–404. IEEE (2018)

4. Clausner, C., Pletschacher, S., Antonacopoulos, A.: Flexible character accuracy measure for reading-order-independent evaluation. Pattern Recogn. Lett. 131, 390–397 (2020). https://doi.org/10.1016/j.patrec.2020.02.003

5. Constum, T., et al.: Recognition and information extraction in historical handwritten tables: toward understanding early 20th century Paris census. In: Uchida, S., Barney, E., Eglin, V. (eds.) Document Analysis Systems: 15th IAPR International Workshop, DAS 2022, La Rochelle, France, 22–25 May 2022, Proceedings, pp. 143–157. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-06555-2_10