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Incorporating Word Correlation Knowledge into Topic Modeling
Pengtao Xie
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Diyi Yang
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Eric Xing
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Paper Details:
Month: May–June
Year: 2015
Location: Denver, Colorado
Venue:
NAACL |
Citations
URL
Efficient Methods for Incorporating Knowledge into Topic Models
Yi Yang
|
Doug Downey
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Jordan Boyd-Graber
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LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning
Andrew Bennett
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Timothy Baldwin
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Jey Han Lau
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Diana McCarthy
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Francis Bond
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PhraseCTM: Correlated Topic Modeling on Phrases within Markov Random Fields
Weijing Huang
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Improving Topic Coherence with Latent Feature Word Representations in MAP Estimation for Topic Modeling
Dat Quoc Nguyen
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Kairit Sirts
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Mark Johnson
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Accounting ngrams and multi-word terms can improve topic models
Michael Nokel
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Natalia Loukachevitch
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https://www.wikipedia.org/
http://qwone.com/
http://archive.ics.uci.edu/ml/datasets/Bag+of+Words
http://www.cis.upenn.edu/
Field Of Study
Approach
Topic Modeling
Language
English
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