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2002.06144
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Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers
14 February 2020
Raphaël Barman
Maud Ehrmann
Simon Clematide
S. Oliveira
F. Kaplan
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Papers citing
"Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers"
12 / 12 papers shown
Title
Using Word Embeddings to Examine Gender Bias in Dutch Newspapers, 1950-1990
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The VIA Annotation Software for Images, Audio and Video
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Andrew Zisserman
79
867
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24 Apr 2019
Chargrid: Towards Understanding 2D Documents
Anoop R. Katti
C. Reisswig
Cordula Guder
Sebastian Brarda
S. Bickel
Johannes Höhne
Jean Baptiste Faddoul
73
195
0
24 Sep 2018
dhSegment: A generic deep-learning approach for document segmentation
S. Oliveira
Benoit Seguin
F. Kaplan
SSeg
63
172
0
27 Apr 2018
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
233
11,565
0
15 Feb 2018
BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages
Benjamin Heinzerling
Michael Strube
66
232
0
05 Oct 2017
Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network
Xiao Yang
Ersin Yumer
P. Asente
Mike Kraley
Daniel Kifer
C. Lee Giles
78
230
0
07 Jun 2017
Convolutional Neural Networks for Page Segmentation of Historical Document Images
Kai Chen
Mathias Seuret
SSeg
51
86
0
05 Apr 2017
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe
BDL
71
541
0
10 Feb 2017
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAI
SSL
VLM
234
9,986
0
15 Jul 2016
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
Barry Haddow
Alexandra Birch
238
7,760
0
31 Aug 2015
Natural Language Processing (almost) from Scratch
R. Collobert
Jason Weston
Léon Bottou
Michael Karlen
Koray Kavukcuoglu
Pavel P. Kuksa
203
7,729
0
02 Mar 2011
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