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Augmenting semantic lexicons using word embeddings and transfer learning

Augmenting semantic lexicons using word embeddings and transfer learning

18 September 2021
T. Alshaabi
C. V. Oort
M. Fudolig
M. V. Arnold
C. Danforth
P. Dodds
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Papers citing "Augmenting semantic lexicons using word embeddings and transfer learning"

4 / 4 papers shown
Title
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing
Boaz Shmueli
Jan Fell
Soumya Ray
Lun-Wei Ku
118
86
0
20 Apr 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
289
9,167
0
06 Jun 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
334
31,297
0
16 Jan 2013
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