David Newman
10 papers · 2006–2014 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (18)
π±
Topic Pioneer
π§
Keyword Pioneer
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Trend Setter
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Century Club Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(4)
Natural Language Processing
(4)
Applications
(4)
Core Methods
(4)
Bayesian & Probabilistic Β· Machine Learning
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Generation
(2)
Learning Types
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Learning Paradigms
(1)
Methods
(1)
Models
(1)
Keywords
topic model
(4)
latent dirichlet allocation
(3)
bayesian inference
(2)
topic modeling
(2)
gibbs sampling
(2)
variational inference
(2)
distributed computing
(1)
variational bayesian
(1)
hierarchical bayesian
(1)
variational bayesian inference
(1)
collapsed variational inference
(1)
regularized learning
(1)
distributed inference
(1)
hierarchical dirichlet process
(1)
distributed gibbs sampling
(1)
topic coherence
(1)
semantic themes
(1)
bayesian network
(1)
probabilistic model
(1)
hierarchical bayesian model
(1)
Papers
Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality
EACL 2014
Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction
COLING 2012
Word Sense Induction for Novel Sense Detection
EACL 2012
Automatic Labelling of Topic Models
ACL 2011
Improving Topic Coherence with Regularized Topic Models
NeurIPS 2011
Automatic Evaluation of Topic Coherence
NAACL 2010
Best Topic Word Selection for Topic Labelling
COLING 2010
Distributed Algorithms for Topic Models
JMLR 2009
Distributed Inference for Latent Dirichlet Allocation
NeurIPS 2007
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
NeurIPS 2006