Analyzing Entities and Topics in News Articles Using Statistical Topic Models. - David Newman 001; Chaitanya Chemudugunta; Padhraic Smyth; Mark Steyvers (ISI, 2006)

Statistical entity-topic models. - David Newman 001; Chaitanya Chemudugunta; Padhraic Smyth (KDD, 2006)

A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation. - Yee Whye Teh; David Newman 001; Max Welling (NIPS, 2006)

Probabilistic topic decomposition of an eighteenth-century American newspaper. - David J. Newman; Sharon Block (J. Assoc. Inf. Sci. Technol., 2006)

Subject metadata enrichment using statistical topic models. - David Newman 001; Kat Hagedorn; Chaitanya Chemudugunta; Padhraic Smyth (JCDL, 2007)

Distributed Inference for Latent Dirichlet Allocation. - David Newman 001; Arthur U. Asuncion; Padhraic Smyth; Max Welling (NIPS, 2007)

Enhancing Search and Browse Using Automated Clustering of Subject Metadata. - Kat Hagedorn; Suzanne E. Chapman; David Newman 001 (D Lib Mag., 2007)

Fast collapsed gibbs sampling for latent dirichlet allocation. - Ian Porteous; David Newman 001; Alexander Ihler; Arthur U. Asuncion; Padhraic Smyth; Max Welling (KDD, 2008)

Using Topic Models to Interpret MEDLINE's Medical Subject Headings. - David Newman 001; Sarvnaz Karimi; Lawrence Cavedon (Australasian Conference on Artificial Intelligence, 2009)

Distributed Algorithms for Topic Models. - David Newman 001; Arthur U. Asuncion; Padhraic Smyth; Max Welling (J. Mach. Learn. Res., 2009)

Best Topic Word Selection for Topic Labelling. - Jey Han Lau; David Newman 001; Sarvnaz Karimi; Timothy Baldwin (COLING (Posters), 2010)

Evaluating topic models for digital libraries. - David Newman 001; Youn Noh; Edmund M. Talley; Sarvnaz Karimi; Timothy Baldwin (JCDL, 2010)

Automatic Evaluation of Topic Coherence. - David Newman 001; Jey Han Lau; Karl Grieser; Timothy Baldwin (HLT-NAACL, 2010)

Visualizing search results and document collections using topic maps. - David Newman 001; Timothy Baldwin; Lawrence Cavedon; Eric Huang; Sarvnaz Karimi; David Martínez 001; Falk Scholer; Justin Zobel (J. Web Semant., 2010)

Automatic Labelling of Topic Models. - Jey Han Lau; Karl Grieser; David Newman 001; Timothy Baldwin (ACL, 2011)

Are learned topics more useful than subject headings. - Youn Noh; Katrina Hagedorn; David Newman 001 (JCDL, 2011)

A New Way to Find: Testing the Use of Clustering Topics in Digital Libraries. - Kat Hagedorn; Michael Kargela; Youn Noh; David Newman 001 (D Lib Mag., 2011)

Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction. - David Newman 001; Nagendra Koilada; Jey Han Lau; Timothy Baldwin (COLING, 2012)

Word Sense Induction for Novel Sense Detection. - Jey Han Lau; Paul Cook; Diana McCarthy; David Newman 001; Timothy Baldwin (EACL, 2012)

Learning topics and related passages in books. - David Newman 001; Youn Noh; Kat Hagedorn; Arun Balagopalan (JCDL, 2012)

TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling. - Brynjar Gretarsson; John O'Donovan; Svetlin Bostandjiev; Tobias Höllerer; Arthur U. Asuncion; David Newman 001; Padhraic Smyth (ACM Trans. Intell. Syst. Technol., 2012)

Understanding Errors in Approximate Distributed Latent Dirichlet Allocation. - Alexander Ihler; David Newman 001 (IEEE Trans. Knowl. Data Eng., 2012)

Text-based measures of document diversity. - Kevin Bache; David Newman 001; Padhraic Smyth (KDD, 2013)

On collocations and topic models. - Jey Han Lau; Timothy Baldwin; David Newman 001 (ACM Trans. Speech Lang. Process., 2013)

Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality. - Jey Han Lau; David Newman 001; Timothy Baldwin (EACL, 2014)