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Exploiting Global Contextual Information for Document-level Named Entity
  Recognition

Exploiting Global Contextual Information for Document-level Named Entity Recognition

2 June 2021
Zanbo Wang
Wei Wei
Xian-Ling Mao
Shanshan Feng
Pan Zhou
Zhiyong He
Sheng Jiang
ArXivPDFHTML

Papers citing "Exploiting Global Contextual Information for Document-level Named Entity Recognition"

3 / 3 papers shown
Title
Global Attention for Name Tagging
Global Attention for Name Tagging
Boliang Zhang
Spencer Whitehead
Lifu Huang
Heng Ji
50
17
0
19 Oct 2020
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
285
9,138
0
06 Jun 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
266
31,267
0
16 Jan 2013
1