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Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs
Ximing Li
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Jinjin Chi
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Changchun Li
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Jihong Ouyang
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Bo Fu
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Paper Details:
Month: December
Year: 2016
Location: Osaka, Japan
Venue:
COLING |
Citations
URL
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
Dheeraj Mekala
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Vivek Gupta
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Bhargavi Paranjape
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Harish Karnick
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http://creativecommons.org/licenses/by/4.0/
https://github.com/rajarshd/Gaussian
http://www.cs.princeton.edu/mdhoffma/
http://gibbslda.sourceforge.net/
http://nlp.stanford.edu/projects/glove/
http://aksw.org/Projects/Palmetto.html
https://www.csie.ntu.edu.tw/cjlin/libsvm/
Field Of Study
Linguistic Trends
Embeddings
Task
Summarization
Approach
Topic Modeling
Language
English
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