Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hemmer, Arthur"'
Optical Character Recognition (OCR) continues to face accuracy challenges that impact subsequent applications. To address these errors, we explore the utility of OCR confidence scores for enhancing post-OCR error detection. Our study involves analyzi
Externí odkaz:
http://arxiv.org/abs/2409.04117
We explore the possibility of improving probabilistic models in structured prediction. Specifically, we combine the models with constrained decoding approaches in the context of token classification for information extraction. The decoding methods se
Externí odkaz:
http://arxiv.org/abs/2312.03367
Post-OCR processing has significantly improved over the past few years. However, these have been primarily beneficial for texts consisting of natural, alphabetical words, as opposed to documents of numerical nature such as invoices, payslips, medical
Externí odkaz:
http://arxiv.org/abs/2307.01020
Autor:
Clebsch, William A.
Publikováno v:
Historical Magazine of the Protestant Episcopal Church, 1962 Mar 01. 31(1), 61-61.
Externí odkaz:
https://www.jstor.org/stable/43748105
Autor:
Hovda, Robert W.
Publikováno v:
The Catholic Historical Review, 1962 Jul 01. 48(2), 273-274.
Externí odkaz:
https://www.jstor.org/stable/25017074
Autor:
Giorgos Sfikas, George Retsinas
This book constitutes the refereed proceedings of the 16th IAPR International Workshop on Document Analysis Systems, DAS 2024, held in Athens, Greece, during August 30-31, 2024. The 27 full papers presented were carefully reviewed and selected from 4
Autor:
Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumiła Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa, Ali Selamat
This book constitutes the second part of the proceedings of the 15th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2023, held in Phuket, Thailand, during July 24–26, 2023.The 50 full papers included in this book were care