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ORCIDMichael J. Paul
Person information
- affiliation: University of Colorado Boulder, USA
- affiliation: Johns Hopkins University, Center for Language and Speech Processing
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2020 – today
- 2021
[j13]Ashlynn R. Daughton
, Michael J. Paul:
A bootstrapping approach to social media quantification. Soc. Netw. Anal. Min. 11(1): 73 (2021)- [i8]Xiaolei Huang, Michael J. Paul, Robin Burke, Franck Dernoncourt, Mark Dredze:
User Factor Adaptation for User Embedding via Multitask Learning. CoRR abs/2102.11103 (2021) - 2020
- [j12]Kai R. Larsen, Eric B. Hekler, Michael J. Paul, Bryan Smith Gibson:
Improving Usability of Social and Behavioral Sciences' Evidence: A Call to Action for a National Infrastructure Project for Mining Our Knowledge. Commun. Assoc. Inf. Syst. 46: 1 (2020) - [j11]Shudong Hao, Michael J. Paul:
An Empirical Study on Crosslingual Transfer in Probabilistic Topic Models. Comput. Linguistics 46(1): 95-134 (2020) - [c41]Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber:
Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries. ACL 2020: 2214-2220 - [c40]Xiaolei Huang, Linzi Xing, Franck Dernoncourt, Michael J. Paul:
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition. LREC 2020: 1440-1448 - [p1]Ashlynn R. Daughton, Michael J. Paul:
Constructing Accurate Confidence Intervals When Aggregating Social Media Data for Public Health Monitoring. Precision Health and Medicine 2020: 9-17 - [i7]Xiaolei Huang, Linzi Xing, Franck Dernoncourt, Michael J. Paul:
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition. CoRR abs/2002.10361 (2020) - [i6]Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul, Jordan L. Boyd-Graber:
Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries. CoRR abs/2005.00524 (2020)
2010 – 2019
- 2019
- [c39]Xiaolei Huang, Michael J. Paul:
Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models. ACL (1) 2019: 4113-4123 - [c38]Yoshinari Fujinuma, Jordan L. Boyd-Graber, Michael J. Paul:
A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity. ACL (1) 2019: 4952-4962 - [c37]Linzi Xing, Michael J. Paul, Giuseppe Carenini:
Evaluating Topic Quality with Posterior Variability. EMNLP/IJCNLP (1) 2019: 3469-3475 - [c36]Avijit Thawani, Michael J. Paul, Urmimala Sarkar, Byron C. Wallace:
Are Online Reviews of Physicians Biased Against Female Providers? MLHC 2019: 406-423 - [c35]Shudong Hao, Michael J. Paul:
Analyzing Bayesian Crosslingual Transfer in Topic Models. NAACL-HLT (1) 2019: 1551-1565 - [c34]Xiaolei Huang, Michael J. Paul:
Neural User Factor Adaptation for Text Classification: Learning to Generalize Across Author Demographics. *SEM@NAACL-HLT 2019: 136-146 - [i5]Yoshinari Fujinuma, Jordan L. Boyd-Graber, Michael J. Paul:
A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity. CoRR abs/1906.01926 (2019) - [i4]Linzi Xing, Michael J. Paul, Giuseppe Carenini:
Evaluating Topic Quality with Posterior Variability. CoRR abs/1909.03524 (2019) - 2018
- [c33]Linzi Xing, Michael J. Paul:
Diagnosing and Improving Topic Models by Analyzing Posterior Variability. AAAI 2018: 6005-6012 - [c32]Xiaolei Huang, Michael J. Paul:
Examining Temporality in Document Classification. ACL (2) 2018: 694-699 - [c31]Shudong Hao, Michael J. Paul:
Learning Multilingual Topics from Incomparable Corpora. COLING 2018: 2595-2609 - [c30]Shudong Hao, Jordan L. Boyd-Graber, Michael J. Paul:
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation. NAACL-HLT 2018: 1090-1100 - [i3]Shudong Hao, Jordan L. Boyd-Graber, Michael J. Paul:
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation. CoRR abs/1804.10184 (2018) - [i2]Shudong Hao, Michael J. Paul:
Learning Multilingual Topics from Incomparable Corpus. CoRR abs/1806.04270 (2018) - [i1]Shudong Hao, Michael J. Paul:
Understanding Crosslingual Transfer Mechanisms in Probabilistic Topic Modeling. CoRR abs/1810.05867 (2018) - 2017
- [b1]Michael J. Paul, Mark Dredze:
Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2017, ISBN 978-3-031-01183-2 - [j10]Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu:
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38(3): 72-82 (2017) - [j9]Casey Fiesler, William Aspray, Lecia Barker, Jed R. Brubaker, Laura Devendorf, Brian Keegan, Leysia Palen, Michael J. Paul, Danielle Albers Szafir, Ricarose Roque, Rick Robinson, Amy Voida, Stephen Voida:
Information science at CU Boulder. Interactions 24(4): 18-21 (2017) - [c29]Xiaolei Huang, Michael C. Smith, Michael J. Paul, Dmytro Ryzhkov, Sandra Crouse Quinn, David A. Broniatowski, Mark Dredze:
Examining Patterns of Influenza Vaccination in Social Media. AAAI Workshops 2017 - [c28]Linzi Xing, Michael J. Paul:
Incorporating Metadata into Content-Based User Embeddings. NUT@EMNLP 2017: 45-49 - [c27]Ashlynn R. Daughton, Dasha Pruss, Brad Arnot, Danielle Albers Szafir, Michael J. Paul:
Characteristics of Zika Behavior Discourse on Twitter. SMM4H@AMIA 2017: 27-31 - [c26]Brian C. Keegan, Patricia A. Cavazos-Rehg, Anh Ngoc Nguyen, Saiph Savage, Jofish Kaye, Munmun De Choudhury, Michael J. Paul:
CHI-nnabis: Implications of Marijuana Legalization for and from Human-Computer Interaction. CHI Extended Abstracts 2017: 1312-1317 - [c25]Michael J. Paul:
Feature Selection as Causal Inference: Experiments with Text Classification. CoNLL 2017: 163-172 - [c24]Xiaolei Huang, Linzi Xing, Jed R. Brubaker, Michael J. Paul:
Exploring Timelines of Confirmed Suicide Incidents Through Social Media. ICHI 2017: 470-477 - 2016
- [j8]Michael J. Paul, Ryen W. White, Eric Horvitz:
Search and Breast Cancer: On Episodic Shifts of Attention over Life Histories of an Illness. ACM Trans. Web 10(2): 13:1-13:27 (2016) - [c23]Adrian Benton, Michael J. Paul, Braden Hancock, Mark Dredze:
Collective Supervision of Topic Models for Predicting Surveys with Social Media. AAAI 2016: 2892-2898 - [c22]Animesh Koratana, Mark Dredze, Margaret S. Chisolm, Matthew W. Johnson, Michael J. Paul:
Studying Anonymous Health Issues and Substance Use on College Campuses with Yik Yak. AAAI Workshop: WWW and Population Health Intelligence 2016 - [c21]Kevin Stowe, Michael J. Paul, Martha Palmer, Leysia Palen, Ken Anderson:
Identifying and Categorizing Disaster-Related Tweets. SocialNLP@EMNLP 2016: 1-6 - [c20]Michael J. Paul, Abeed Sarker, John S. Brownstein, Azadeh Nikfarjam, Matthew Scotch, Karen L. Smith, Graciela Gonzalez-Hernandez:
Session Introduction. PSB 2016: 468-479 - 2015
- [j7]Benjamin M. Althouse, Samuel V. Scarpino, Lauren Ancel Meyers, John W. Ayers, Marisa Bargsten, Joan Baumbach, John S. Brownstein, Lauren Castro, Hannah E. Clapham, Derek A. T. Cummings, Sara Y. Del Valle, Stephen G. Eubank, Geoffrey Fairchild, Lyn Finelli, Nicholas Generous, Dylan B. George, David R. Harper, Laurent Hébert-Dufresne, Michael A. Johansson, Kevin J. Konty, Marc Lipsitch, Gabriel Milinovich, Joseph D. Miller, Elaine O. Nsoesie, Donald R. Olson, Michael J. Paul, Philip M. Polgreen, Reid Priedhorsky, Jonathan M. Read, Isabel Rodríguez-Barraquer, Derek J. Smith, Christian Stefansen, David L. Swerdlow, Deborah Thompson, Alessandro Vespignani, Amy Wesolowski:
Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Sci. 4(1): 17 (2015) - [j6]Mauricio Santillana, André T. Nguyen, Mark Dredze, Michael J. Paul, Elaine O. Nsoesie, John S. Brownstein:
Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. PLoS Comput. Biol. 11(10) (2015) - [j5]Michael J. Paul, Mark Dredze:
SPRITE: Generalizing Topic Models with Structured Priors. Trans. Assoc. Comput. Linguistics 3: 43-57 (2015) - [c19]Michael J. Paul, Mark Dredze, David A. Broniatowski, Nicholas Generous:
Worldwide Influenza Surveillance through Twitter. AAAI Workshop: WWW and Public Health Intelligence 2015 - [c18]Byron C. Wallace, Michael J. Paul, Noémie Elhadad:
What Predicts Media Coverage of Health Science Articles? AAAI Workshop: WWW and Public Health Intelligence 2015 - [c17]Michael J. Paul, Ryen W. White, Eric Horvitz:
Diagnoses, Decisions, and Outcomes: Web Search as Decision Support for Cancer. WWW 2015: 831-841 - 2014
- [j4]Ahmed Abbasi, Donald A. Adjeroh, Mark Dredze, Michael J. Paul, Fatemeh "Mariam" Zahedi, Huimin Zhao, Nitin Walia, Hemant K. Jain, Patrick Sanvanson, Reza Shaker, Marco D. Huesch, Richard Beal, Wanhong Zheng, Marie Abate, Arun Ross:
Social Media Analytics for Smart Health. IEEE Intell. Syst. 29(2): 60-80 (2014) - [j3]Byron C. Wallace, Michael J. Paul, Urmimala Sarkar, Thomas A. Trikalinos, Mark Dredze:
A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews. J. Am. Medical Informatics Assoc. 21(6): 1098-1103 (2014) - 2013
- [c16]Michael J. Paul, Mark Dredze:
Drug Extraction from the Web: Summarizing Drug Experiences with Multi-Dimensional Topic Models. HLT-NAACL 2013: 168-178 - [c15]Alex Lamb, Michael J. Paul, Mark Dredze:
Separating Fact from Fear: Tracking Flu Infections on Twitter. HLT-NAACL 2013: 789-795 - 2012
- [c14]Alex Lamb, Michael J. Paul, Mark Dredze:
Investigating Twitter as a Source for Studying Behavioral Responses to Epidemics. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text 2012 - [c13]Atul Nakhasi, Ralph Passarella, Sarah G. Bell, Michael J. Paul, Mark Dredze, Peter Pronovost:
Malpractice and Malcontent: Analyzing Medical Complaints in Twitter. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text 2012 - [c12]Michael J. Paul, Mark Dredze:
Experimenting with Drugs (and Topic Models): Multi-Dimensional Exploration of Recreational Drug Discussions. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text 2012 - [c11]Ralph Passarella, Atul Nakhasi, Sarah G. Bell, Michael J. Paul, Peter Pronovost, Mark Dredze:
Twitter as a Source for Learning about Patient Safety Events. AMIA 2012 - [c10]Michael J. Paul:
Mixed Membership Markov Models for Unsupervised Conversation Modeling. EMNLP-CoNLL 2012: 94-104 - [c9]Michael J. Paul, Jason Eisner:
Implicitly Intersecting Weighted Automata using Dual Decomposition. HLT-NAACL 2012: 232-242 - [c8]Michael J. Paul, Mark Dredze:
Factorial LDA: Sparse Multi-Dimensional Text Models. NIPS 2012: 2591-2599 - 2011
- [j2]Roxana Girju, Michael J. Paul:
Modeling reciprocity in social interactions with probabilistic latent space models. Nat. Lang. Eng. 17(1): 1-36 (2011) - [c7]Michael J. Paul, Mark Dredze:
You Are What You Tweet: Analyzing Twitter for Public Health. ICWSM 2011 - [c6]Delip Rao, Michael J. Paul, Clayton Fink, David Yarowsky, Timothy Oates, Glen Coppersmith:
Hierarchical Bayesian Models for Latent Attribute Detection in Social Media. ICWSM 2011 - 2010
- [j1]Michael J. Paul, Roxana Girju:
Comparative Scientific Research Analysis with A Language-Independent Cross-Collection Model. Proces. del Leng. Natural 45: 153-160 (2010) - [c5]Michael J. Paul, Roxana Girju:
A Two-Dimensional Topic-Aspect Model for Discovering Multi-Faceted Topics. AAAI 2010: 545-550 - [c4]Michael J. Paul, ChengXiang Zhai, Roxana Girju:
Summarizing Contrastive Viewpoints in Opinionated Text. EMNLP 2010: 66-76
2000 – 2009
- 2009
- [c3]Michael J. Paul, Roxana Girju, Chen Li:
Mining the Web for Reciprocal Relationships. CoNLL 2009: 75-83 - [c2]Michael J. Paul, Roxana Girju:
Cross-Cultural Analysis of Blogs and Forums with Mixed-Collection Topic Models. EMNLP 2009: 1408-1417 - [c1]Michael J. Paul, Roxana Girju:
Topic Modeling of Research Fields: An Interdisciplinary Perspective. RANLP 2009: 337-342
Coauthor Index
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