Zobrazeno 1 - 10
of 17
pro vyhledávání: '"line item recognition (LIR)"'
Publikováno v:
Vietnam Journal of Computer Science, Vol 11, Iss 04, Pp 569-594 (2024)
Key information extraction and recognition from rich text images are crucial for various applications. There are two main tasks involved in this process: Line Item Recognition (LIR) and Key Information Localization and Extraction (KILE). LIR aims at
Externí odkaz:
https://doaj.org/article/0e9b2df7adef4ee398c0ad3e324171cc
Akademický článek
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Conference
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The lack of data for information extraction (IE) from semi-structured business documents is a real problem for the IE community. Publications relying on large-scale datasets use only proprietary, unpublished data due to the sensitive nature of such d
Externí odkaz:
http://arxiv.org/abs/2301.12394
Information extraction from semi-structured documents is crucial for frictionless business-to-business (B2B) communication. While machine learning problems related to Document Information Extraction (IE) have been studied for decades, many common pro
Externí odkaz:
http://arxiv.org/abs/2206.11229
Autor:
Aliannejadi, Mohammad, Arampatzis, Avi, Faggioli, Guglielmo, Ferro, Nicola, Giachanou, Anastasia, Kanoulas, Evangelos, Li, Dan, Tsikrika, Theodora, Vlachos, Michalis, Vrochidis, Stefanos
Publikováno v:
SIGIR Forum; Dec2023, Vol. 57 Issue 2, p1-16, 16p
Publikováno v:
Milan Šulc
Lecture Notes in Computer Science ISBN: 9783031136429
Lecture Notes in Computer Science ISBN: 9783031136429
Information extraction from semi-structured documents is crucial for frictionless business-to-business (B2B) communication. While machine learning problems related to Document Information Extraction (IE) have been studied for decades, many common pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63af3dbba64dacd204bc344bdea6b3aa
http://arxiv.org/abs/2206.11229
http://arxiv.org/abs/2206.11229
This six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–September 4, 2024. The total of 144 full papers present
Autor:
Lorraine Goeuriot, Philippe Mulhem, Georges Quénot, Didier Schwab, Giorgio Maria Di Nunzio, Laure Soulier, Petra Galuščáková, Alba García Seco de Herrera, Guglielmo Faggioli, Nicola Ferro
The two volume set LNCS 14958 + 14959 constitutes the proceedings of the 15th International Conference of the CLEF Association, CLEF 2024, held in Grenoble, France, during September 9–12, 2024. The proceedings contain 11 conference papers; 6 best