David Newman

24 papers A* 4A 2B 1C 1Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2014 A conf
Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality.
EACL
Jey Han Lau, David Newman, Timothy Baldwin
2013 J jnl
On collocations and topic models.
ACM Trans. Speech Lang. Process.
Jey Han Lau, Timothy Baldwin, David Newman
2013 A* conf
Text-based measures of document diversity.
KDD
Kevin Bache, David Newman, Padhraic Smyth
2012 B conf
Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction.
COLING
David Newman, Nagendra Koilada, Jey Han Lau, Timothy Baldwin
2012 — conf
Learning topics and related passages in books.
JCDL
David Newman, Youn Noh, Kat Hagedorn, Arun Balagopalan
2012 J jnl
TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling.
ACM Trans. Intell. Syst. Technol.
Brynjar Gretarsson, John O'Donovan, Svetlin Bostandjiev, Tobias Höllerer, Arthur U. Asuncion, David Newman, Padhraic Smyth
2012 J jnl
Understanding Errors in Approximate Distributed Latent Dirichlet Allocation.
IEEE Trans. Knowl. Data Eng.
Alexander Ihler, David Newman
2012 A conf
Word Sense Induction for Novel Sense Detection.
EACL
Jey Han Lau, Paul Cook, Diana McCarthy, David Newman, Timothy Baldwin
2011 J jnl
A New Way to Find: Testing the Use of Clustering Topics in Digital Libraries.
D Lib Mag.
Kat Hagedorn, Michael Kargela, Youn Noh, David Newman
2011 — conf
Are learned topics more useful than subject headings.
JCDL
Youn Noh, Katrina Hagedorn, David Newman
2011 A* conf
Automatic Labelling of Topic Models.
ACL
Jey Han Lau, Karl Grieser, David Newman, Timothy Baldwin
2010 — conf
Automatic Evaluation of Topic Coherence.
HLT-NAACL
David Newman, Jey Han Lau, Karl Grieser, Timothy Baldwin
2010 — conf
Best Topic Word Selection for Topic Labelling.
COLING (Posters)
Jey Han Lau, David Newman, Sarvnaz Karimi, Timothy Baldwin
2010 — conf
Evaluating topic models for digital libraries.
JCDL
David Newman, Youn Noh, Edmund M. Talley, Sarvnaz Karimi, Timothy Baldwin
2010 J jnl
Visualizing search results and document collections using topic maps.
J. Web Semant.
David Newman, Timothy Baldwin, Lawrence Cavedon, Eric Huang, Sarvnaz Karimi, David Martínez, Falk Scholer, Justin Zobel
2009 J jnl
Distributed Algorithms for Topic Models.
J. Mach. Learn. Res.
David Newman, Arthur U. Asuncion, Padhraic Smyth, Max Welling
2009 — conf
Using Topic Models to Interpret MEDLINE's Medical Subject Headings.
Australasian Conference on Artificial Intelligence
David Newman, Sarvnaz Karimi, Lawrence Cavedon
2008 A* conf
Fast collapsed gibbs sampling for latent dirichlet allocation.
KDD
Ian Porteous, David Newman, Alexander Ihler, Arthur U. Asuncion, Padhraic Smyth, Max Welling
2007 — conf
Distributed Inference for Latent Dirichlet Allocation.
NIPS
David Newman, Arthur U. Asuncion, Padhraic Smyth, Max Welling
2007 J jnl
Enhancing Search and Browse Using Automated Clustering of Subject Metadata.
D Lib Mag.
Kat Hagedorn, Suzanne E. Chapman, David Newman
2007 — conf
Subject metadata enrichment using statistical topic models.
JCDL
David Newman, Kat Hagedorn, Chaitanya Chemudugunta, Padhraic Smyth
2006 — conf
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation.
NIPS
Yee Whye Teh, David Newman, Max Welling
2006 C conf
Analyzing Entities and Topics in News Articles Using Statistical Topic Models.
ISI
David Newman, Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers
2006 A* conf
Statistical entity-topic models.
KDD
David Newman, Chaitanya Chemudugunta, Padhraic Smyth