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Nonparametric Spherical Topic Modeling with Word Embeddings
Kayhan Batmanghelich
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Ardavan Saeedi
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Karthik Narasimhan
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Sam Gershman
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
Hyperspherical Query Likelihood Models with Word Embeddings
Ryo Masumura
|
Taichi Asami
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Hirokazu Masataki
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Kugatsu Sadamitsu
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Kyosuke Nishida
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Ryuichiro Higashinaka
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https://github.com/
http://qwone.com/
http://www.cs.nyu.edu/
https://code.google.com/p/word2vec/
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Similarity
Approach
Topic Modeling
Language
English
Dataset
News
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