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On the Practical Computational Power of Finite Precision RNNs for
  Language Recognition

On the Practical Computational Power of Finite Precision RNNs for Language Recognition

13 May 2018
Gail Weiss
Yoav Goldberg
Eran Yahav
ArXivPDFHTML

Papers citing "On the Practical Computational Power of Finite Precision RNNs for Language Recognition"

6 / 56 papers shown
Title
The Best of Both Worlds: Lexical Resources To Improve Low-Resource
  Part-of-Speech Tagging
The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging
Barbara Plank
Sigrid Klerke
Zeljko Agic
NAI
52
4
0
21 Nov 2018
On Evaluating the Generalization of LSTM Models in Formal Languages
On Evaluating the Generalization of LSTM Models in Formal Languages
Mirac Suzgun
Yonatan Belinkov
Stuart M. Shieber
AI4CE
11
41
0
02 Nov 2018
What can linguistics and deep learning contribute to each other?
What can linguistics and deep learning contribute to each other?
Tal Linzen
21
40
0
11 Sep 2018
Context-Free Transductions with Neural Stacks
Context-Free Transductions with Neural Stacks
Sophie Hao
William Merrill
Dana Angluin
Robert Frank
Noah Amsel
Andrew Benz
S. Mendelsohn
GNN
11
38
0
08 Sep 2018
Neural Arithmetic Logic Units
Neural Arithmetic Logic Units
Andrew Trask
Felix Hill
Scott E. Reed
Jack W. Rae
Chris Dyer
Phil Blunsom
NAI
24
203
0
01 Aug 2018
LSTMs Exploit Linguistic Attributes of Data
LSTMs Exploit Linguistic Attributes of Data
Nelson F. Liu
Omer Levy
Roy Schwartz
Chenhao Tan
Noah A. Smith
17
15
0
29 May 2018
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