--- title: "David J. Newman — author profile and papers in our library" description: "David J. Newman, National Institutes of Health: 3 papers on Elamur Research (2010–2014), h-index 83 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/david-j-newman/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/david-j-newman/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / David J. Newman # David J. Newman David J. Newman has 3 papers in our library, in 2010–2014, most of them on [Word sense disambiguation](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Jey Han Lau](https://md.research.elamur.ai/free/en/authors/jey-han-lau/), [Timothy Baldwin](https://md.research.elamur.ai/free/en/authors/timothy-baldwin/), [Diana McCarthy](https://md.research.elamur.ai/free/en/authors/diana-mccarthy/). 3 papers in our library · 2010–2014 [OpenAlex](https://openalex.org/A5088727983) · [ORCID](https://orcid.org/0000-0002-4959-2428) · [**h-index 83**](https://openalex.org/authors/A5088727983) · [604 works](https://openalex.org/works?filter=author.id:A5088727983) · [59,407 citations](https://openalex.org/works?filter=author.id:A5088727983&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/david-j-newman/#papers) · [🔗 Cited 388 times in our library](https://md.research.elamur.ai/free/en/authors/david-j-newman/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1821](https://md.research.elamur.ai/free/en/paper-stars/page/19/#star-1821) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=David+J.+Newman) · [Semantic Scholar](https://www.semanticscholar.org/search?q=David+J.+Newman) · [dblp](https://dblp.org/search?q=David+J.+Newman) · [ACL Anthology](https://aclanthology.org/search/?q=David+J.+Newman) ## Affiliations [🏛️**National Cancer Institute** Bethesda · United States 1995–2025 · 123 papers*current*](https://ror.org/040gcmg81) · [🏛️**National Institutes of Health** Bethesda · United States 2001–2025 · 45 papers*current*](https://md.research.elamur.ai/free/en/government/national-institutes-of-health/) · [🎓**Loma Linda University** Loma Linda · United States 2025 · 1 paper*current*](https://ror.org/04bj28v14) · [🔬**Frederick National Laboratory for Cancer Research** Frederick · United States 1995–2021 · 39 papers](https://ror.org/03v6m3209) · [🎓**University of California, Irvine** Irvine · United States 2003–2013 · 30 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-irvine/) · [🔬**South West Thames Institute for Renal Research** London · United Kingdom 1998–2006 · 21 papers](https://ror.org/02f1jpe62) · [🎓**Queen Mary University of London** London · United Kingdom 1961–2015 · 20 papers](https://md.research.elamur.ai/free/en/universities/queen-mary-university-of-london/) · [🏥**St Helier Hospital** London · United Kingdom 1998–2004 · 18 papers](https://ror.org/019hb9542) · [🔬**Data61** Sydney · Australia 2009–2011 · 8 papers](https://md.research.elamur.ai/free/en/labs/data61/) · [🎓**North Dakota State University** Fargo · United States 2011–2014 · 6 papers](https://ror.org/05h1bnb22) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 52 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [General Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 2 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Word sense disambiguation · 1 work](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/) 💡 Concepts 2 Key ideas and methods explained on our concept pages.[Topic modeling · 2 works](https://md.research.elamur.ai/free/en/concepts/topic-modeling/) · [Word sense disambiguation · 1 work](https://md.research.elamur.ai/free/en/concepts/word-sense-disambiguation/) ## Works by year ### 2010s [**2014** 1 paper](https://md.research.elamur.ai/free/en/authors/david-j-newman/year/2014/) · [**2012** 1 paper](https://md.research.elamur.ai/free/en/authors/david-j-newman/year/2012/) · [**2010** 1 paper](https://md.research.elamur.ai/free/en/authors/david-j-newman/year/2010/) ## Papers The most cited first (OpenAlex and our library). 1. **[Automatic Evaluation of Topic Coherence](https://md.research.elamur.ai/free/en/papers/newman-2010-automatic-evaluation-topic-coherence/)** *(2010 · 826 citations)* Topic models such as LDA produce lists of words that are meant to represent themes. These models are usually judged by perplexity, which says little about whether people find a topic meaningful. Newman et al. define a new task: automatically scoring a topic's coherence, meaning how easily a human could interpret it… 2. **[Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality](https://md.research.elamur.ai/free/en/papers/lau-2014-machine-reading-tea-leaves-automatically/)** *(2014 · 704 citations)* Topic models such as LDA are often shown directly to people, so the quality that matters is whether their topics make sense to humans. 3. **[Word Sense Induction for Novel Sense Detection](https://md.research.elamur.ai/free/en/papers/lau-2012-word-sense-induction-novel-sense/)** *(2012 · 187 citations)* Lau et al. tackle word sense induction (WSI), the task of discovering a word's senses from unlabelled usage rather than from a fixed inventory. They also show that WSI can serve a practical lexicographic purpose: detecting words that have acquired new senses. Each target word gets its own topic model. Every context… ## All works 10 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Automatic Evaluation of Topic Coherence](https://md.research.elamur.ai/free/en/papers/newman-2010-automatic-evaluation-topic-coherence/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**David Newman, Jey Han Lau, Karl Grieser, et al.*2010 · 826 citations* 2. **[Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality](https://md.research.elamur.ai/free/en/papers/lau-2014-machine-reading-tea-leaves-automatically/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jey Han Lau, David Newman, Timothy Baldwin*2014 · 704 citations* 3. **[Fast collapsed gibbs sampling for latent dirichlet allocation ↗](https://doi.org/10.1145/1401890.1401960) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Ian Porteous et al.*2008 · 578 citations* 4. **[A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation ↗](https://doi.org/10.21236/ada629956) no summary yet**Yee Whye Teh, David J. Newman, Max Welling*2007 · 504 citations* 5. **[Distributed Algorithms for Topic Models ↗](https://openalex.org/W2116137244) no summary yet**David J. Newman et al.*2009 · 399 citations* 6. **[Distributed Inference for Latent Dirichlet Allocation ↗](https://openalex.org/W2153029569) no summary yet**David J. Newman et al.*2007 · 214 citations* 7. **[Word Sense Induction for Novel Sense Detection](https://md.research.elamur.ai/free/en/papers/lau-2012-word-sense-induction-novel-sense/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jey Han Lau, Paul Cook, Diana McCarthy, et al.*2012 · 187 citations* 8. **[Jordan Boyd-Graber, David Mimno, and David Newman. Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements. Handbook of Mixed Membership Models and Their Applications, 2014. ↗](https://openalex.org/W2338001230) no summary yet**Boca Raton et al.*2014 · 10 citations* 9. **[Distributed Gibbs Sampling for Latent Variable Models ↗](https://doi.org/10.1017/cbo9781139042918.012) Cambridge University Press eBooks · no summary yet**Arthur Asuncion et al.*2011 · 5 citations* 10. **[Machine Learning on Very Large Data Sets: Distributed Gibbs Sampling for Latent Variable Models ↗](https://openalex.org/W2788843306) no summary yet**David J. Newman et al.*2012 · 1 citation* ## Co-authors here 4 co-authors with a page, the most papers together first. - [Jey Han Lau](https://md.research.elamur.ai/free/en/authors/jey-han-lau/) ×3 - [Timothy Baldwin](https://md.research.elamur.ai/free/en/authors/timothy-baldwin/) ×3 - [Diana McCarthy](https://md.research.elamur.ai/free/en/authors/diana-mccarthy/) - [Paul Cook](https://md.research.elamur.ai/free/en/authors/paul-cook/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/) ×2: [EACL 2014](https://md.research.elamur.ai/free/en/venues/eacl/2014/), [EACL 2012](https://md.research.elamur.ai/free/en/venues/eacl/2012/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2010](https://md.research.elamur.ai/free/en/venues/naacl/2010/) - ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) - Cambridge University Press eBooks ## Cited by Papers of our library cite their works 388 times (of the 149,439 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/david-j-newman/cited-by/). Updated 30 October 2026