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Text Analysis Using Deep Neural Networks in Digital Humanities and
  Information Science

Text Analysis Using Deep Neural Networks in Digital Humanities and Information Science

30 July 2023
Omri Suissa
Avshalom Elmalech
M. Zhitomirsky-Geffet
    AI4CE
ArXivPDFHTML

Papers citing "Text Analysis Using Deep Neural Networks in Digital Humanities and Information Science"

32 / 32 papers shown
Title
Optimizing the Neural Network Training for OCR Error Correction of
  Historical Hebrew Texts
Optimizing the Neural Network Training for OCR Error Correction of Historical Hebrew Texts
Omri Suissa
Avshalom Elmalech
M. Zhitomirsky-Geffet
23
6
0
30 Jul 2023
Toward the Optimized Crowdsourcing Strategy for OCR Post-Correction
Toward the Optimized Crowdsourcing Strategy for OCR Post-Correction
Omri Suissa
Avshalom Elmalech
M. Zhitomirsky-Geffet
34
6
0
12 Jun 2021
A Comparison of Synthetic Oversampling Methods for Multi-class Text
  Classification
A Comparison of Synthetic Oversampling Methods for Multi-class Text Classification
Anna Glazkova
21
22
0
11 Aug 2020
Carbontracker: Tracking and Predicting the Carbon Footprint of Training
  Deep Learning Models
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
Lasse F. Wolff Anthony
Benjamin Kanding
Raghavendra Selvan
HAI
43
305
0
06 Jul 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
514
41,106
0
28 May 2020
A Survey of Deep Learning Techniques for Neural Machine Translation
A Survey of Deep Learning Techniques for Neural Machine Translation
Shu Yang
Yuxin Wang
Xiaowen Chu
VLM
AI4TS
AI4CE
50
139
0
18 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
292
42,038
0
03 Dec 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
419
24,160
0
26 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
183
8,386
0
19 Jun 2019
Energy and Policy Considerations for Deep Learning in NLP
Energy and Policy Considerations for Deep Learning in NLP
Emma Strubell
Ananya Ganesh
Andrew McCallum
53
2,633
0
05 Jun 2019
The Evolved Transformer
The Evolved Transformer
David R. So
Chen Liang
Quoc V. Le
ViT
78
462
0
30 Jan 2019
A Survey on Deep Learning for Named Entity Recognition
A Survey on Deep Learning for Named Entity Recognition
Junlin Li
Aixin Sun
Jianglei Han
Chenliang Li
3DV
63
1,160
0
22 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.1K
93,936
0
11 Oct 2018
Know What You Don't Know: Unanswerable Questions for SQuAD
Know What You Don't Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar
Robin Jia
Percy Liang
RALM
ELM
198
2,830
0
11 Jun 2018
Dilated Recurrent Neural Networks
Dilated Recurrent Neural Networks
Shiyu Chang
Yang Zhang
Wei Han
Mo Yu
Xiaoxiao Guo
Wei Tan
Xiaodong Cui
Michael Witbrock
M. Hasegawa-Johnson
Thomas S. Huang
60
299
0
05 Oct 2017
Recent Trends in Deep Learning Based Natural Language Processing
Recent Trends in Deep Learning Based Natural Language Processing
Tom Young
Devamanyu Hazarika
Soujanya Poria
Min Zhang
65
2,833
0
09 Aug 2017
On the State of the Art of Evaluation in Neural Language Models
On the State of the Art of Evaluation in Neural Language Models
Gábor Melis
Chris Dyer
Phil Blunsom
48
532
0
18 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
494
129,831
0
12 Jun 2017
Neural Network Architecture Optimization through Submodularity and Supermodularity
Junqi Jin
Ziang Yan
Kun Fu
Nan Jiang
Changshui Zhang
46
11
0
01 Sep 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
170
8,067
0
16 Jun 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
344
18,300
0
27 May 2016
Chinese Song Iambics Generation with Neural Attention-based Model
Chinese Song Iambics Generation with Neural Attention-based Model
Qixin Wang
Tianyi Luo
Dong Wang
Chao Xing
30
78
0
21 Apr 2016
Neural Architectures for Named Entity Recognition
Neural Architectures for Named Entity Recognition
Guillaume Lample
Miguel Ballesteros
Sandeep Subramanian
Kazuya Kawakami
Chris Dyer
202
4,006
0
04 Mar 2016
Argumentation Mining in User-Generated Web Discourse
Argumentation Mining in User-Generated Web Discourse
Ivan Habernal
Iryna Gurevych
50
267
0
11 Jan 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.5K
192,638
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
972
149,474
0
22 Dec 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
299
20,491
0
10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
401
27,205
0
01 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
687
23,235
0
03 Jun 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
290
43,290
0
01 May 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
306
33,445
0
16 Oct 2013
Practical recommendations for gradient-based training of deep
  architectures
Practical recommendations for gradient-based training of deep architectures
Yoshua Bengio
3DH
ODL
150
2,195
0
24 Jun 2012
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