Year |
Citation |
Score |
2019 |
Pruss D, Fujinuma Y, Daughton AR, Paul MJ, Arnot B, Albers Szafir D, Boyd-Graber J. Zika discourse in the Americas: A multilingual topic analysis of Twitter. Plos One. 14: e0216922. PMID 31120935 DOI: 10.1371/Journal.Pone.0216922 |
0.319 |
|
2019 |
Wallace E, Rodriguez P, Feng S, Yamada I, Boyd-Graber J. 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. DOI: 10.1162/tacl_a_00279 |
0.321 |
|
2018 |
Gerow A, Hu Y, Boyd-Graber J, Blei DM, Evans JA. Measuring discursive influence across scholarship. Proceedings of the National Academy of Sciences of the United States of America. PMID 29531061 DOI: 10.1073/Pnas.1719792115 |
0.48 |
|
2015 |
Nguyen T, Boyd-Graber J, Lund J, Seppi K, Ringger E. 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. |
0.37 |
|
2015 |
Iyyer M, Manjunatha V, Boyd-Graber J, Daumé H. 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. |
0.342 |
|
2015 |
Yang W, Boyd-Graber J, Resnik P. 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. |
0.31 |
|
2014 |
Nguyen VA, Boyd-Graber J, Resnik P, Cai DA, Midberry JE, Wang Y. Modeling topic control to detect influence in conversations using nonparametric topic models Machine Learning. 95: 381-421. DOI: 10.1007/S10994-013-5417-9 |
0.434 |
|
2013 |
Zhai K, Boyd-Graber J. Online latent Dirichlet allocation with infinite vocabulary 30th International Conference On Machine Learning, Icml 2013. 561-569. |
0.315 |
|
2012 |
Eidelman V, Boyd-Graber J, Resnik P. 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. |
0.332 |
|
2011 |
Fleischmann KR, Templeton TC, Boyd-Graber J. Modeling diverse standpoints in text classification Acm International Conference Proceeding Series. 672-673. DOI: 10.1145/1940761.1940863 |
0.342 |
|
2009 |
Chang J, Boyd-Graber J, Blei DM. Connections between the lines: Augmenting social networks with text Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 169-177. DOI: 10.1145/1557019.1557044 |
0.42 |
|
2009 |
Chang J, Boyd-Graber J, Gerrish S, Wang C, Blei DM. Reading tea leaves: How humans interpret topic models Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 288-296. |
0.509 |
|
2009 |
Boyd-Graber J, Blei DM. Multilingual topic models for unaligned text Proceedings of the 25th Conference On Uncertainty in Artificial Intelligence, Uai 2009. 75-82. |
0.528 |
|
2009 |
Boyd-Graber J, Blei D. Syntactic topic models Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 185-192. |
0.331 |
|
Low-probability matches (unlikely to be authored by this person) |
2010 |
Boyd-Graber J, Resnik P. Holistic sentiment analysis across languages: Multilingual supervised latent Dirichlet allocation Emnlp 2010 - Conference On Empirical Methods in Natural Language Processing, Proceedings of the Conference. 45-55. |
0.3 |
|
2017 |
Boyd-Graber J, Hu Y, Mimno D. Applications of Topic Models Foundations and Trends® in Information Retrieval. 11: 143-296. DOI: 10.1561/1500000030 |
0.29 |
|
2011 |
Hu Y, Boyd-Graber J, Satinoff B. Interactive topic modeling Acl-Hlt 2011 - Proceedings of the 49th Annual Meeting of the Association For Computational Linguistics: Human Language Technologies. 1: 248-257. DOI: 10.1007/s10994-013-5413-0 |
0.284 |
|
2012 |
Nguyen VA, Boyd-Graber J, Resnik P. SITS: A hierarchical nonparametric model using speaker identity for topic segmentation in multiparty conversations 50th Annual Meeting of the Association For Computational Linguistics, Acl 2012 - Proceedings of the Conference. 1: 78-87. |
0.28 |
|
2004 |
Geyken A, Boyd-Graber J. Automatic classification of multi-word expressions in print dictionaries Lingvisticae Investigationes. 26: 187-202. DOI: 10.1075/Li.26.2.03Gey |
0.276 |
|
2012 |
Zhai K, Boyd-Graber J, Asadi N, Alkhouja M. Mr. LDA: A flexible large scale topic modeling package using variational inference in MapReduce Www'12 - Proceedings of the 21st Annual Conference On World Wide Web. 879-888. DOI: 10.1145/2187836.2187955 |
0.269 |
|
2011 |
Nikolova S, Boyd-Graber J, Fellbaum C. Collecting semantic similarity ratings to connect concepts in assistive communication tools Studies in Computational Intelligence. 370: 81-93. DOI: 10.1007/978-3-642-22613-7_5 |
0.265 |
|
2015 |
Yang Y, Downey D, Boyd-Graber J. Efficient methods for incorporating knowledge into topic models Conference Proceedings - Emnlp 2015: Conference On Empirical Methods in Natural Language Processing. 308-317. |
0.261 |
|
2010 |
Hardisty EA, Boyd-Graber J, Resnik P. Modeling perspective using adaptor grammars Emnlp 2010 - Conference On Empirical Methods in Natural Language Processing, Proceedings of the Conference. 284-292. |
0.259 |
|
2007 |
Boyd-Graber J, Blei D, Zhu X. A topic model forword sense disambiguation Emnlp-Conll 2007 - Proceedings of the 2007 Joint Conference On Empirical Methods in Natural Language Processing and Computational Natural Language Learning. 1024-1033. |
0.257 |
|
2014 |
Hu Y, Zhai K, Eidelman V, Boyd-Graber J. Polylingual tree-based topic models for translation domain adaptation 52nd Annual Meeting of the Association For Computational Linguistics, Acl 2014 - Proceedings of the Conference. 1: 1166-1176. |
0.256 |
|
2009 |
Nikolova S, Boyd-Graber J, Fellbaum C, Cook P. Better vocabularies for assistive communication aids: Connecting terms using semantic networks and untrained annotators Assets'09 - Proceedings of the 11th International Acm Sigaccess Conference On Computers and Accessibility. 171-178. DOI: 10.1145/1639642.1639673 |
0.249 |
|
2013 |
Nguyen VA, Boyd-Graber J, Resnik P. Lexical and hierarchical topic regression Advances in Neural Information Processing Systems. |
0.246 |
|
2015 |
Nguyen VA, Boyd-Graber J, Resnik P, Miler K. Tea party in the house: A hierarchical ideal point topic model and its application to republican legislators in the 112th congress 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: 1438-1448. |
0.238 |
|
2014 |
Zhai K, Boyd-Graber J, Cohen SB. Online Adaptor Grammars with Hybrid Inference Transactions of the Association For Computational Linguistics. 2: 465-476. DOI: 10.1162/tacl_a_00196 |
0.238 |
|
2017 |
Lee TY, Smith A, Seppi KD, Elmqvist N, Boyd-Graber JL, Findlater L. The human touch: How non-expert users perceive, interpret, and fix topic models International Journal of Human-Computer Studies \/ International Journal of Man-Machine Studies. 105: 28-42. DOI: 10.1016/J.Ijhcs.2017.03.007 |
0.234 |
|
2012 |
Hu Y, Boyd-Graber J. Efficient tree-based topic modeling 50th Annual Meeting of the Association For Computational Linguistics, Acl 2012 - Proceedings of the Conference. 2: 275-279. |
0.208 |
|
2015 |
Guha A, Iyyer M, Bouman D, Boyd-Graber J. Removing the training wheels: A coreference dataset that entertains humans and challenges computers Naacl Hlt 2015 - 2015 Conference of the North American Chapter of the Association For Computational Linguistics: Human Language Technologies, Proceedings of the Conference. 1108-1118. |
0.206 |
|
2011 |
Anand P, King J, Boyd-Graber J, Wagner E, Martell C, Oard D, Resnik P. Believe me - We can do this! Annotating persuasive acts in blog text Aaai Workshop - Technical Report. 11-15. |
0.203 |
|
2014 |
Nguyen T, Hu Y, Boyd-Graber J. Anchors regularized: Adding robustness and extensibility to scalable topic-modeling algorithms 52nd Annual Meeting of the Association For Computational Linguistics, Acl 2014 - Proceedings of the Conference. 1: 359-369. |
0.2 |
|
2020 |
Zhang M, Fujinuma Y, Boyd-Graber J. Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification Proceedings of the Aaai Conference On Artificial Intelligence. 34: 9547-9554. DOI: 10.1609/AAAI.V34I05.6500 |
0.199 |
|
2015 |
Bach SH, Huang B, Boyd-Graber J, Getoor L. Paired-dual learning for fast training of latent variable hinge-loss MRFs 32nd International Conference On Machine Learning, Icml 2015. 1: 381-390. |
0.191 |
|
2015 |
He H, Grissom A, Boyd-Graber J, Daumé H. Syntax-based rewriting for simultaneous machine translation Conference Proceedings - Emnlp 2015: Conference On Empirical Methods in Natural Language Processing. 55-64. |
0.181 |
|
2013 |
Hu Y, Boyd-Graber J, Daumè H, Ying ZI. Binary to bushy: Bayesian hierarchical clustering with the beta coalescent Advances in Neural Information Processing Systems. |
0.173 |
|
2009 |
Ma X, Boyd-Graber J, Nikolova S, Cook PR. Speaking through pictures: Images vs. icons Assets'09 - Proceedings of the 11th International Acm Sigaccess Conference On Computers and Accessibility. 163-170. DOI: 10.1145/1639642.1639672 |
0.172 |
|
2017 |
Smith A, Lee TY, Poursabzi-Sangdeh F, Boyd-Graber JL, Elmqvist N, Findlater L. Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Labels Transactions of the Association For Computational Linguistics. 5: 1-15. DOI: 10.1162/Tacl_A_00042 |
0.165 |
|
2015 |
Niculae V, Kumar S, Boyd-Graber J, Danescu-Niculescu-Mizil C. Linguistic harbingers of betrayal: A case study on an online strategy game 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: 1650-1659. |
0.161 |
|
2012 |
Boyd-Graber J, Satinoff B, He H, Daume H. Besting the quiz master: Crowdsourcing incremental classification games Emnlp-Conll 2012 - 2012 Joint Conference On Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference. 1290-1301. |
0.158 |
|
2014 |
Glasgow K, Fink C, Boyd-Graber J. "Our Grief is Unspeakable": Automatically measuring the community impact of a tragedy Proceedings of the 8th International Conference On Weblogs and Social Media, Icwsm 2014. 161-169. |
0.156 |
|
2012 |
Hu Y, Zhai K, Williamson S, Boyd-Graber J. Modeling images using transformed indian buffet processes Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1511-1518. |
0.142 |
|
2009 |
Nikolova S, Boyd-Graber J, Cook PR. The design of ViVA: A mixed-initiative visual vocabulary for aphasia Conference On Human Factors in Computing Systems - Proceedings. 4015-4020. DOI: 10.1145/1520340.1520610 |
0.129 |
|
2013 |
Nguyen VA, Boyd-Graber J, Altschul SF. Dirichlet mixtures, the Dirichlet process, and the structure of protein space. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 20: 1-18. PMID 23294268 DOI: 10.1089/Cmb.2012.0244 |
0.123 |
|
2012 |
Sayeed AB, Boyd-Graber J, Rusk B, Weinberg A. Grammatical structures for word-level sentiment detection Naacl Hlt 2012 - 2012 Conference of the North American Chapter of the Association For Computational Linguistics: Human Language Technologies, Proceedings of the Conference. 667-676. |
0.117 |
|
2023 |
Mane HY, Channell Doig A, Marin Gutierrez FX, Jasczynski M, Yue X, Srikanth NP, Mane S, Sun A, Moats RA, Patel P, He X, Boyd-Graber JL, Aparicio EM, Nguyen QC. Practical Guidance for the Development of Rosie, a Health Education Question-and-Answer Chatbot for New Mothers. Journal of Public Health Management and Practice : Jphmp. 29: 663-670. PMID 37478093 DOI: 10.1097/PHH.0000000000001781 |
0.117 |
|
2014 |
Iyyer M, Enns P, Boyd-Graber J, Resnik P. Political ideology detection using recursive neural networks 52nd Annual Meeting of the Association For Computational Linguistics, Acl 2014 - Proceedings of the Conference. 1: 1113-1122. |
0.115 |
|
2013 |
Boyd-Graber J, Glasgow K, Zajac JS. Spoiler alert: Machine learning approaches to detect social media posts with revelatory information Proceedings of the Asist Annual Meeting. 50. DOI: 10.1002/meet.14505001073 |
0.096 |
|
2024 |
Nguyen QC, Aparicio EM, Jasczynski M, Channell Doig A, Yue X, Mane H, Srikanth N, Gutierrez FXM, Delcid N, He X, Boyd-Graber J. Rosie, a Health Education Question-and-Answer Chatbot for New Mothers: Randomized Pilot Study. Jmir Formative Research. 8: e51361. PMID 38214963 DOI: 10.2196/51361 |
0.064 |
|
2014 |
Nguyen VA, Boyd-Graber J, Resnik P, Chang J. Learning a concept hierarchy from multi-labeled documents Advances in Neural Information Processing Systems. 4: 3671-3679. |
0.037 |
|
2011 |
Templeton TC, Fleischmann KR, Boyd-Graber J. Simulating audiences automating analysis of values, attitudes, and sentiment Proceedings - 2011 Ieee International Conference On Privacy, Security, Risk and Trust and Ieee International Conference On Social Computing, Passat/Socialcom 2011. 734-737. DOI: 10.1109/PASSAT/SocialCom.2011.238 |
0.029 |
|
2006 |
Boyd-Graber J, Nikolova S, Moffatt K, Kin K, Lee J, Mackey L, Tremaine M, Klawe M. Participatory design with proxies: Developing a desktop-PDA system to support people with aphasia Conference On Human Factors in Computing Systems - Proceedings. 1: 151-160. |
0.027 |
|
2005 |
Boyd-Graber J, Fellbaum C, Osherson D, Schapire R. Adding dense, weighted connections to WordNet Gwc 2006: 3rd International Global Wordnet Conference, Proceedings. 29-35. |
0.024 |
|
2011 |
Templeton TC, Fleischmann KR, Boyd-Graber J. Comparing values and sentiment using Mechanical Turk Acm International Conference Proceeding Series. 783-784. DOI: 10.1145/1940761.1940903 |
0.023 |
|
2016 |
Boyd-Graber J. Machine learning shouldn’t be a black box Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9626. |
0.01 |
|
Hide low-probability matches. |