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Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context

Urvashi Khandelwal
He He
Peng Qi
Dan Jurafsky
    RALM
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Papers citing "Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context"

5 / 5 papers shown
Title
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling
Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling
Hakan Inan
Khashayar Khosravi
R. Socher
94
384
0
04 Nov 2016
Pointer Sentinel Mixture Models
Pointer Sentinel Mixture Models
Stephen Merity
Caiming Xiong
James Bradbury
R. Socher
RALM
173
2,814
0
26 Sep 2016
Using the Output Embedding to Improve Language Models
Using the Output Embedding to Improve Language Models
Ofir Press
Lior Wolf
51
733
0
20 Aug 2016
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
Felix Hill
Antoine Bordes
S. Chopra
Jason Weston
RALM
81
633
0
07 Nov 2015
Syntactic Topic Models
Syntactic Topic Models
Jordan L. Boyd-Graber
David M. Blei
65
219
0
25 Feb 2010

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