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A New Annotation Method and Dataset for Layout Analysis of ..:

, In: Companion Proceedings of the ACM Web Conference 2023,

Ahuja, Aman ; Dinh, Kevin ; Dinh, Brian.. - p. 834-842 , 2023

Link: https://dl.acm.org/doi/10.1145/3543873.3587609

RT 
T1 <cTitle>Companion Proceedings of the ACM Web Conference 2023</cTitle>: T1 <Title>A New Annotation Method and Dataset for Layout Analysis of Long Documents</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3587609&Exemplar=1&LAN=DE
				
A1 Ahuja, Aman
A1 Dinh, Kevin
A1 Dinh, Brian
A1 Ingram, William A.
A1 Fox, Edward
PB ACM
YR 2023
K1 AI-Aided
K1 Document Understanding
K1 Electronic Theses and Dissertations
K1 Object Detection
K1 Scholarly Documents
K1 Applied computing
K1 Document management and text processing
K1 Document capture
K1 Document analysis
K1 Document preparation
K1 Annotation
K1 Information systems
K1 Information systems applications
K1 Digital libraries and archives
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision problems
K1 Object detection
K1 Markup languages
K1 Extensible Markup Language (XML)
SP 834
OP 842
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3543873.3587609
DO https://dl.acm.org/doi/10.1145/3543873.3587609
SF ELIB - SuUB Bremen

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