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David Newman 0001
Person information
- affiliation: Google
- affiliation (former): University of California Irvine, Department of Computer Science, CA, USA
Other persons with the same name
- David Newman — disambiguation page
- David E. Newman (aka: David Newman 0002) — University of Alaska, Fairbanks, AK, USA
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2010 – 2019
- 2014
- [c17]Jey Han Lau, David Newman, Timothy Baldwin:
Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality. EACL 2014: 530-539 - 2013
- [j8]Jey Han Lau, Timothy Baldwin, David Newman:
On collocations and topic models. ACM Trans. Speech Lang. Process. 10(3): 10:1-10:14 (2013) - [c16]Kevin Bache, David Newman, Padhraic Smyth:
Text-based measures of document diversity. KDD 2013: 23-31 - 2012
- [j7]Brynjar Gretarsson, John O'Donovan, Svetlin Bostandjiev, Tobias Höllerer, Arthur U. Asuncion, David Newman, Padhraic Smyth:
TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling. ACM Trans. Intell. Syst. Technol. 3(2): 23:1-23:26 (2012) - [j6]Alexander Ihler, David Newman:
Understanding Errors in Approximate Distributed Latent Dirichlet Allocation. IEEE Trans. Knowl. Data Eng. 24(5): 952-960 (2012) - [c15]David Newman, Nagendra Koilada, Jey Han Lau, Timothy Baldwin:
Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction. COLING 2012: 2077-2092 - [c14]Jey Han Lau, Paul Cook, Diana McCarthy, David Newman, Timothy Baldwin:
Word Sense Induction for Novel Sense Detection. EACL 2012: 591-601 - [c13]David Newman, Youn Noh, Kat Hagedorn, Arun Balagopalan:
Learning topics and related passages in books. JCDL 2012: 195-198 - 2011
- [j5]Kat Hagedorn, Michael Kargela, Youn Noh, David Newman:
A New Way to Find: Testing the Use of Clustering Topics in Digital Libraries. D Lib Mag. 17(9/10) (2011) - [c12]Jey Han Lau, Karl Grieser, David Newman, Timothy Baldwin:
Automatic Labelling of Topic Models. ACL 2011: 1536-1545 - [c11]Youn Noh, Katrina Hagedorn, David Newman:
Are learned topics more useful than subject headings. JCDL 2011: 411-412 - 2010
- [j4]David Newman, Timothy Baldwin, Lawrence Cavedon, Eric Huang, Sarvnaz Karimi, David Martínez, Falk Scholer, Justin Zobel:
Visualizing search results and document collections using topic maps. J. Web Semant. 8(2-3): 169-175 (2010) - [c10]Jey Han Lau, David Newman, Sarvnaz Karimi, Timothy Baldwin:
Best Topic Word Selection for Topic Labelling. COLING (Posters) 2010: 605-613 - [c9]David Newman, Youn Noh, Edmund M. Talley, Sarvnaz Karimi, Timothy Baldwin:
Evaluating topic models for digital libraries. JCDL 2010: 215-224 - [c8]David Newman, Jey Han Lau, Karl Grieser, Timothy Baldwin:
Automatic Evaluation of Topic Coherence. HLT-NAACL 2010: 100-108
2000 – 2009
- 2009
- [j3]David Newman, Arthur U. Asuncion, Padhraic Smyth, Max Welling:
Distributed Algorithms for Topic Models. J. Mach. Learn. Res. 10: 1801-1828 (2009) - [c7]David Newman, Sarvnaz Karimi, Lawrence Cavedon:
Using Topic Models to Interpret MEDLINE's Medical Subject Headings. Australasian Conference on Artificial Intelligence 2009: 270-279 - 2008
- [c6]Ian Porteous, David Newman, Alexander Ihler, Arthur U. Asuncion, Padhraic Smyth, Max Welling:
Fast collapsed gibbs sampling for latent dirichlet allocation. KDD 2008: 569-577 - 2007
- [j2]Kat Hagedorn, Suzanne E. Chapman, David Newman:
Enhancing Search and Browse Using Automated Clustering of Subject Metadata. D Lib Mag. 13(7/8) (2007) - [c5]David Newman, Kat Hagedorn, Chaitanya Chemudugunta, Padhraic Smyth:
Subject metadata enrichment using statistical topic models. JCDL 2007: 366-375 - [c4]David Newman, Arthur U. Asuncion, Padhraic Smyth, Max Welling:
Distributed Inference for Latent Dirichlet Allocation. NIPS 2007: 1081-1088 - 2006
- [j1]David J. Newman, Sharon Block:
Probabilistic topic decomposition of an eighteenth-century American newspaper. J. Assoc. Inf. Sci. Technol. 57(6): 753-767 (2006) - [c3]David Newman, Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers:
Analyzing Entities and Topics in News Articles Using Statistical Topic Models. ISI 2006: 93-104 - [c2]David Newman, Chaitanya Chemudugunta, Padhraic Smyth:
Statistical entity-topic models. KDD 2006: 680-686 - [c1]Yee Whye Teh, David Newman, Max Welling:
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation. NIPS 2006: 1353-1360
Coauthor Index
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