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Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint
  Inference for Clinical Temporal Information Extraction

Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction

4 June 2016
Jason Alan Fries
ArXiv (abs)PDFHTML

Papers citing "Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction"

5 / 5 papers shown
Title
Improved Semantic Representations From Tree-Structured Long Short-Term
  Memory Networks
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai
R. Socher
Christopher D. Manning
AIMat
142
3,122
0
28 Feb 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
601
12,741
0
11 Dec 2014
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
680
31,544
0
16 Jan 2013
Theano: new features and speed improvements
Theano: new features and speed improvements
Frédéric Bastien
Pascal Lamblin
Razvan Pascanu
James Bergstra
Ian Goodfellow
Arnaud Bergeron
Nicolas Bouchard
David Warde-Farley
Yoshua Bengio
97
1,419
0
23 Nov 2012
On the difficulty of training Recurrent Neural Networks
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
204
5,360
0
21 Nov 2012
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