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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 10: AAAI-22 Technical Tracks 10

Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models

February 1, 2023

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Authors

Juan Antonio Ramirez-Orta

Department of Computer Science, Dalhousie University


Eduardo Xamena

Institute of Research in Social Sciences and Humanities (ICSOH), Universidad Nacional de Salta - CONICET


Ana Maguitman

Department of Computer Science and Engineering, Universidad Nacional del Sur Institute for Computer Science and Engineering, UNS–CONICET


Evangelos Milios

Department of Computer Science, Dalhousie University


Axel J. Soto

Department of Computer Science and Engineering, Universidad Nacional del Sur Institute for Computer Science and Engineering, UNS–CONICET


DOI:

10.1609/aaai.v36i10.21369


Abstract:

In this paper, we propose a novel method to extend sequence-to-sequence models to accurately process sequences much longer than the ones used during training while being sample- and resource-efficient, supported by thorough experimentation. To investigate the effectiveness of our method, we apply it to the task of correcting documents already processed with Optical Character Recognition (OCR) systems using sequence-to-sequence models based on characters. We test our method on nine languages of the ICDAR 2019 competition on post-OCR text correction and achieve a new state-of-the-art performance in five of them. The strategy with the best performance involves splitting the input document in character n-grams and combining their individual corrections into the final output using a voting scheme that is equivalent to an ensemble of a large number of sequence models. We further investigate how to weigh the contributions from each one of the members of this ensemble. Our code for post-OCR correction is shared at https://github.com/jarobyte91/post_ocr_correction.

Topics: AAAI

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HOW TO CITE:

Juan Antonio Ramirez-Orta||Eduardo Xamena||Ana Maguitman||Evangelos Milios||Axel J. Soto Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models Proceedings of the AAAI Conference on Artificial Intelligence (2022) 11192-11199.

Juan Antonio Ramirez-Orta||Eduardo Xamena||Ana Maguitman||Evangelos Milios||Axel J. Soto Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models AAAI 2022, 11192-11199.

Juan Antonio Ramirez-Orta||Eduardo Xamena||Ana Maguitman||Evangelos Milios||Axel J. Soto (2022). Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models. Proceedings of the AAAI Conference on Artificial Intelligence, 11192-11199.

Juan Antonio Ramirez-Orta||Eduardo Xamena||Ana Maguitman||Evangelos Milios||Axel J. Soto. Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.11192-11199.

Juan Antonio Ramirez-Orta||Eduardo Xamena||Ana Maguitman||Evangelos Milios||Axel J. Soto. 2022. Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models. "Proceedings of the AAAI Conference on Artificial Intelligence". 11192-11199.

Juan Antonio Ramirez-Orta||Eduardo Xamena||Ana Maguitman||Evangelos Milios||Axel J. Soto. (2022) "Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models", Proceedings of the AAAI Conference on Artificial Intelligence, p.11192-11199

Juan Antonio Ramirez-Orta||Eduardo Xamena||Ana Maguitman||Evangelos Milios||Axel J. Soto, "Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models", AAAI, p.11192-11199, 2022.

Juan Antonio Ramirez-Orta||Eduardo Xamena||Ana Maguitman||Evangelos Milios||Axel J. Soto. "Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.11192-11199.

Juan Antonio Ramirez-Orta||Eduardo Xamena||Ana Maguitman||Evangelos Milios||Axel J. Soto. "Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 11192-11199.

Juan Antonio Ramirez-Orta||Eduardo Xamena||Ana Maguitman||Evangelos Milios||Axel J. Soto. Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models. AAAI[Internet]. 2022[cited 2023]; 11192-11199.


ISSN: 2374-3468


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