Jordan Boyd-Graber, Ph.D.

Affiliations: 
2010 Princeton University, Princeton, NJ 
Area:
Artificial Intelligence, Linguistics Language, Statistics
Google:
"Jordan Boyd-Graber"
Mean distance: 16.46 (cluster 29)
 
SNBCP

Parents

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David Meir Blei grad student 2010 Princeton
 (Linguistic extensions of topic models.)

Children

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Anupam Guha grad student 2011-2017 CU Boulder (Computer Science Tree)
Alvin C Grissom II grad student 2012-2017 CU Boulder
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Publications

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Pruss D, Fujinuma Y, Daughton AR, et al. (2019) Zika discourse in the Americas: A multilingual topic analysis of Twitter. Plos One. 14: e0216922
Wallace E, Rodriguez P, Feng S, et al. (2019) Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering Transactions of the Association For Computational Linguistics. 7: 387-401
Gerow A, Hu Y, Boyd-Graber J, et al. (2018) Measuring discursive influence across scholarship. Proceedings of the National Academy of Sciences of the United States of America
Yang W, Boyd-Graber J, Resnik P. (2015) Birds of a feather linked together: A discriminative topic model using link-based priors Conference Proceedings - Emnlp 2015: Conference On Empirical Methods in Natural Language Processing. 261-266
Nguyen T, Boyd-Graber J, Lund J, et al. (2015) Is your anchor going up or down? Fast and accurate supervised topic models Naacl Hlt 2015 - 2015 Conference of the North American Chapter of the Association For Computational Linguistics: Human Language Technologies, Proceedings of the Conference. 746-755
Iyyer M, Manjunatha V, Boyd-Graber J, et al. (2015) Deep unordered composition rivals syntactic methods for text classification Acl-Ijcnlp 2015 - 53rd Annual Meeting of the Association For Computational Linguistics and the 7th International Joint Conference On Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference. 1: 1681-1691
Nguyen VA, Boyd-Graber J, Resnik P, et al. (2014) Modeling topic control to detect influence in conversations using nonparametric topic models Machine Learning. 95: 381-421
Zhai K, Boyd-Graber J. (2013) Online latent Dirichlet allocation with infinite vocabulary 30th International Conference On Machine Learning, Icml 2013. 561-569
Eidelman V, Boyd-Graber J, Resnik P. (2012) Topic models for dynamic translation model adaptation 50th Annual Meeting of the Association For Computational Linguistics, Acl 2012 - Proceedings of the Conference. 2: 115-119
Fleischmann KR, Templeton TC, Boyd-Graber J. (2011) Modeling diverse standpoints in text classification Acm International Conference Proceeding Series. 672-673
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