David Mimno

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25 件の論文

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Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts Amherst確認したメールアドレス: cs.umass.edu
Hanna WallachVP & Distinguished Scientist, Microsoft Research確認したメールアドレス: dirichlet.net
Maria AntoniakPioneer Centre for AI, University of Copenhagen確認したメールアドレス: colorado.edu
Alexandra SchofieldAssistant Professor, Harvey Mudd College確認したメールアドレス: cs.hmc.edu
Moontae LeeAssistant Professor of Information Decision Sciences, UIC Business School, University of Illinois at Chicago確認したメールアドレス: uic.edu
Laure ThompsonPrinceton University確認したメールアドレス: princeton.edu
Edmund M TalleyNational Institutes of Health確認したメールアドレス: nih.gov
Gregory YauneyCornell University確認したメールアドレス: cornell.edu
David BleiProfessor of Statistics and Computer Science, Columbia University確認したメールアドレス: columbia.edu
David A. SmithAssociate Professor, College of Computer and Information Science, Northeastern University確認したメールアドレス: ccs.neu.edu
Jordan Boyd-GraberFull Professor, University of Maryland確認したメールアドレス: umiacs.umd.edu
Yoni HalpernGoogle確認したメールアドレス: google.com
Sanjeev AroraProfessor of Computer Science, Princeton University確認したメールアドレス: princeton.edu
Ankur MoitraNorbert Wiener Professor of Mathematics, MIT確認したメールアドレス: mit.edu
Eric P. S. BaumerLehigh University確認したメールアドレス: lehigh.edu
Shion GuhaUniversity of Toronto確認したメールアドレス: utoronto.ca
Jack Hesselsamaya.ai確認したメールアドレス: samaya.ai
Thorsten JoachimsProfessor of Computer Science, Cornell University確認したメールアドレス: cs.cornell.edu
Tobias SchnabelResearcher, Microsoft確認したメールアドレス: cornell.edu
Måns MagnussonDepartment of Statistics, Uppsala University, Sweden確認したメールアドレス: statistik.uu.se

フォロー

David Mimno

Associate Professor, Cornell University

確認したメールアドレス: cornell.edu - ホームページ

Machine Learning Text Mining Topic Modeling Digital Humanities


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Optimizing semantic coherence in topic models D Mimno, H Wallach, E Talley, M Leenders, A McCallum Proceedings of the 2011 conference on empirical methods in natural language …, 2011	2775	2011
Evaluation methods for topic models HM Wallach, I Murray, R Salakhutdinov, D Mimno Proceedings of the 26th annual international conference on machine learning …, 2009	1325	2009
Rethinking LDA: Why priors matter H Wallach, D Mimno, A McCallum Advances in neural information processing systems 22, 2009	1025	2009
Evaluation methods for unsupervised word embeddings T Schnabel, I Labutov, D Mimno, T Joachims Proceedings of the 2015 conference on empirical methods in natural language …, 2015	802	2015
Topic models conditioned on arbitrary features with dirichlet-multinomial regression D Mimno, A McCallum arXiv preprint arXiv:1206.3278, 2012	607	2012
Efficient methods for topic model inference on streaming document collections L Yao, D Mimno, A McCallum Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	573	2009
A practical algorithm for topic modeling with provable guarantees S Arora, R Ge, Y Halpern, D Mimno, A Moitra, D Sontag, Y Wu, M Zhu International conference on machine learning, 280-288, 2013	563	2013
Polylingual topic models D Mimno, H Wallach, J Naradowsky, DA Smith, A McCallum Proceedings of the 2009 conference on empirical methods in natural language …, 2009	487	2009
Expertise modeling for matching papers with reviewers D Mimno, A McCallum Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	406	2007
Applications of topic models J Boyd-Graber, Y Hu, D Mimno Foundations and Trends® in Information Retrieval 11 (2-3), 143-296, 2017	403	2017
Mixtures of hierarchical topics with pachinko allocation D Mimno, W Li, A McCallum Proceedings of the 24th international conference on Machine learning, 633-640, 2007	318	2007
Significant themes in 19th-century literature ML Jockers, D Mimno Poetics 41 (6), 750-769, 2013	301	2013
Comparing grounded theory and topic modeling: Extreme divergence or unlikely convergence? EPS Baumer, D Mimno, S Guha, E Quan, GK Gay Journal of the Association for Information Science and Technology 68 (6 …, 2017	287	2017
Care and feeding of topic models: Problems, diagnostics, and improvements J Boyd-Graber, D Mimno, D Newman Handbook of mixed membership models and their applications 225255, 2014	286	2014
Pulling out the stops: Rethinking stopword removal for topic models A Schofield, M Magnusson, D Mimno Proceedings of the 15th Conference of the European Chapter of the …, 2017	262	2017
Evaluating the stability of embedding-based word similarities M Antoniak, D Mimno Transactions of the Association for Computational Linguistics 6, 107-119, 2018	259	2018
Comparing apples to apple: The effects of stemmers on topic models A Schofield, D Mimno Transactions of the Association for Computational Linguistics 4, 287-300, 2016	244	2016
Sparse stochastic inference for latent Dirichlet allocation D Mimno, M Hoffman, D Blei arXiv preprint arXiv:1206.6425, 2012	195	2012
Low-dimensional embeddings for interpretable anchor-based topic inference D Mimno, M Lee Proceedings of the 2014 conference on empirical methods in natural language …, 2014	186	2014
Computational historiography: Data mining in a century of classics journals D Mimno Journal on Computing and Cultural Heritage (JOCCH) 5 (1), 1-19, 2012	167	2012

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