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When and why are log-linear models self-normalizing?
Jacob Andreas
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Dan Klein
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Paper Details:
Month: May–June
Year: 2015
Location: Denver, Colorado
Venue:
NAACL |
Citations
URL
A Simple Language Model based on PMI Matrix Approximations
Oren Melamud
|
Ido Dagan
|
Jacob Goldberger
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Compressing Neural Language Models by Sparse Word Representations
Yunchuan Chen
|
Lili Mou
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Yan Xu
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Ge Li
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Zhi Jin
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Normalized Log-Linear Interpolation of Backoff Language Models is Efficient
Kenneth Heafield
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Chase Geigle
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Sean Massung
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Lane Schwartz
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Strategies for Training Large Vocabulary Neural Language Models
Wenlin Chen
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David Grangier
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Michael Auli
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Learning Neural Word Salience Scores
Krasen Samardzhiev
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Andrew Gargett
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Danushka Bollegala
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http://stat.wharton
Field Of Study
Task
Machine Translation
Language
English
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