David Newman

According to our database, David Newman authored at least 25 papers between 2006 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2014

Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality.

Jey Han Lau, David Newman, Timothy Baldwin

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

2013

On collocations and topic models.

Jey Han Lau, Timothy Baldwin, David Newman

ACM Trans. Speech Lang. Process., 2013

Text-based measures of document diversity.

Kevin Bache, David Newman, Padhraic Smyth

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

Understanding Errors in Approximate Distributed Latent Dirichlet Allocation.

Alexander Ihler, David Newman

IEEE Trans. Knowl. Data Eng., 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, Padhraic Smyth

ACM Trans. Intell. Syst. Technol., 2012

Learning topics and related passages in books.

David Newman, Youn Noh, Kat Hagedorn, Arun Balagopalan

Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

Word Sense Induction for Novel Sense Detection.

Jey Han Lau, Paul Cook, Diana McCarthy, David Newman, Timothy Baldwin

Proceedings of the EACL 2012, 2012

Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction.

David Newman, Nagendra Koilada, Jey Han Lau, Timothy Baldwin

Proceedings of the COLING 2012, 2012

2011

A New Way to Find: Testing the Use of Clustering Topics in Digital Libraries.

Kat Hagedorn, Michael Kargela, Youn Noh, David Newman

D Lib Mag., 2011

Are learned topics more useful than subject headings.

Youn Noh, Katrina Hagedorn, David Newman

Proceedings of the 2011 Joint International Conference on Digital Libraries, 2011

Automatic Labelling of Topic Models.

Jey Han Lau, Karl Grieser, David Newman, Timothy Baldwin

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Visualizing search results and document collections using topic maps.

David Newman, Timothy Baldwin, Lawrence Cavedon, Eric Huang, Sarvnaz Karimi, David Martínez, Falk Scholer, Justin Zobel

J. Web Semant., 2010

Automatic Evaluation of Topic Coherence.

David Newman, Jey Han Lau, Karl Grieser, Timothy Baldwin

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Evaluating topic models for digital libraries.

David Newman, Youn Noh, Edmund M. Talley, Sarvnaz Karimi, Timothy Baldwin

Proceedings of the 2010 Joint International Conference on Digital Libraries, 2010

Best Topic Word Selection for Topic Labelling.

Jey Han Lau, David Newman, Sarvnaz Karimi, Timothy Baldwin

Proceedings of the COLING 2010, 2010

2009

Distributed Algorithms for Topic Models.

David Newman, Arthur U. Asuncion, Padhraic Smyth, Max Welling

J. Mach. Learn. Res., 2009

Using Topic Models to Interpret MEDLINE's Medical Subject Headings.

David Newman, Sarvnaz Karimi, Lawrence Cavedon

Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008

Fast collapsed gibbs sampling for latent dirichlet allocation.

Ian Porteous, David Newman, Alexander Ihler, Arthur U. Asuncion, Padhraic Smyth, Max Welling

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Enhancing Search and Browse Using Automated Clustering of Subject Metadata.

Kat Hagedorn, Suzanne E. Chapman, David Newman

D Lib Mag., 2007

Distributed Inference for Latent Dirichlet Allocation.

David Newman, Arthur U. Asuncion, Padhraic Smyth, Max Welling

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Subject metadata enrichment using statistical topic models.

David Newman, Kat Hagedorn, Chaitanya Chemudugunta, Padhraic Smyth

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2007

2006

Probabilistic topic decomposition of an eighteenth-century American newspaper.

David J. Newman, Sharon Block

J. Assoc. Inf. Sci. Technol., 2006

A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation.

Yee Whye Teh, David Newman, Max Welling

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Statistical entity-topic models.

David Newman, Chaitanya Chemudugunta, Padhraic Smyth

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Analyzing Entities and Topics in News Articles Using Statistical Topic Models.

David Newman, Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers

Proceedings of the Intelligence and Security Informatics, 2006