Information Extraction from Invoices: A Graph Neural Network Approach for Datasets with High Layout Variety-Reference-Cited by-同舟云学术

Information Extraction from Invoices: A Graph Neural Network Approach for Datasets with High Layout Variety

Published:2021 Issue: Volume: Page:5-20
ISSN:2195-4968
Container-title:Lecture Notes in Information Systems and Organisation
language:
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Author:

Krieger Felix,Drews Paul,Funk Burkhardt,Wobbe Till

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86797-3_1

Reference19 articles.

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3. Esser, D., Schuster, D., Muthmann, K., Berger, M., Schill, A.: Automatic indexing of scanned documents: a layout-based approach. Doc. Recognit. Retr. XIX. 8297, 82970H (2012)

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5. Schuster, D., et al.: Intellix – End-User trained information extraction for document archiving. In: 2013 12th International Conference on Document Analysis and Recognition. pp. 101–105 (2013)

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