Michael J. Paul

Publication Activity (10 Years)

Years Active: 2009-2021
Publications (10 Years): 44

Top Topics

Document Classification

Top Venues

AAAI Workshop: WWW and Public Health Intelligence

Publications

Ashlynn R. Daughton, Michael J. Paul
A bootstrapping approach to social media quantification. Soc. Netw. Anal. Min. 11 (1) (2021)
Xiaolei Huang, Michael J. Paul, Robin Burke, Franck Dernoncourt, Mark Dredze
User Factor Adaptation for User Embedding via Multitask Learning. CoRR (2021)
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 (2020)
Xiaolei Huang, Linzi Xing, Franck Dernoncourt, Michael J. Paul
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition. CoRR (2020)
Shudong Hao, Michael J. Paul
An Empirical Study on Crosslingual Transfer in Probabilistic Topic Models. Comput. Linguistics 46 (1) (2020)
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)
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 (2020)
Xiaolei Huang, Linzi Xing, Franck Dernoncourt, Michael J. Paul
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition. LREC (2020)
Shudong Hao, Michael J. Paul
Analyzing Bayesian Crosslingual Transfer in Topic Models. NAACL-HLT (1) (2019)
Xiaolei Huang, Michael J. Paul
Neural User Factor Adaptation for Text Classification: Learning to Generalize Across Author Demographics. *SEM@NAACL-HLT (2019)
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)
Linzi Xing, Michael J. Paul, Giuseppe Carenini
Evaluating Topic Quality with Posterior Variability. EMNLP/IJCNLP (1) (2019)
Yoshinari Fujinuma, Jordan L. Boyd-Graber, Michael J. Paul
A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity. CoRR (2019)
Davy Weissenbacher, Abeed Sarker, Arjun Magge, Ashlynn R. Daughton, Karen O'Connor, Michael J. Paul, Graciela Gonzalez-Hernandez
Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019. SMM4H@ACL (2019)
Avijit Thawani, Michael J. Paul, Urmimala Sarkar, Byron C. Wallace
Are Online Reviews of Physicians Biased Against Female Providers? MLHC (2019)
Xiaolei Huang, Michael J. Paul
Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models. ACL (1) (2019)
Linzi Xing, Michael J. Paul, Giuseppe Carenini
Evaluating Topic Quality with Posterior Variability. CoRR (2019)
Davy Weissenbacher, Abeed Sarker, Michael J. Paul, Graciela Gonzalez-Hernandez
Overview of the Third Social Media Mining for Health (SMM4H) Shared Tasks at EMNLP 2018. SMM4H@EMNLP (2018)
Shudong Hao, Jordan L. Boyd-Graber, Michael J. Paul
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation. CoRR (2018)
Shudong Hao, Michael J. Paul
Learning Multilingual Topics from Incomparable Corpora. COLING (2018)
Shudong Hao, Michael J. Paul
Learning Multilingual Topics from Incomparable Corpus. CoRR (2018)
Linzi Xing, Michael J. Paul
Diagnosing and Improving Topic Models by Analyzing Posterior Variability. AAAI (2018)
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)
Shudong Hao, Michael J. Paul
Understanding Crosslingual Transfer Mechanisms in Probabilistic Topic Modeling. CoRR (2018)
Xiaolei Huang, Michael J. Paul
Examining Temporality in Document Classification. ACL (2) (2018)
Michael J. Paul
Feature Selection as Causal Inference: Experiments with Text Classification. CoNLL (2017)
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)
Ashlynn R. Daughton, Dasha Pruss, Brad Arnot, Danielle Albers Szafir, Michael J. Paul
Characteristics of Zika Behavior Discourse on Twitter. SMM4H@AMIA (2017)
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) (2017)
Xiaolei Huang, Linzi Xing, Jed R. Brubaker, Michael J. Paul
Exploring Timelines of Confirmed Suicide Incidents Through Social Media. ICHI (2017)
Linzi Xing, Michael J. Paul
Incorporating Metadata into Content-Based User Embeddings. NUT@EMNLP (2017)
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)
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) (2017)
Adrian Benton, Michael J. Paul, Braden Hancock, Mark Dredze
Collective Supervision of Topic Models for Predicting Surveys with Social Media. AAAI (2016)
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) (2016)
Michael J. Paul, Abeed Sarker, John S. Brownstein, Azadeh Nikfarjam, Matthew Scotch, Karen L. Smith, Graciela Gonzalez-Hernandez
Session Introduction. PSB (2016)
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)
Kevin Stowe, Michael J. Paul, Martha Palmer, Leysia Palen, Kenneth Anderson
Identifying and Categorizing Disaster-Related Tweets. SocialNLP@EMNLP (2016)
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) (2015)
Michael J. Paul, Ryen W. White, Eric Horvitz
Diagnoses, Decisions, and Outcomes: Web Search as Decision Support for Cancer. WWW (2015)
Michael J. Paul, Mark Dredze
SPRITE: Generalizing Topic Models with Structured Priors. Trans. Assoc. Comput. Linguistics 3 (2015)
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)
Byron C. Wallace, Michael J. Paul, Noémie Elhadad
What Predicts Media Coverage of Health Science Articles? AAAI Workshop: WWW and Public Health Intelligence (2015)
Michael J. Paul, Mark Dredze, David A. Broniatowski, Nicholas Generous
Worldwide Influenza Surveillance through Twitter. AAAI Workshop: WWW and Public Health Intelligence (2015)
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) (2014)
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) (2014)
Michael J. Paul, Mark Dredze
Drug Extraction from the Web: Summarizing Drug Experiences with Multi-Dimensional Topic Models. HLT-NAACL (2013)
Alex Lamb, Michael J. Paul, Mark Dredze
Separating Fact from Fear: Tracking Flu Infections on Twitter. HLT-NAACL (2013)
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)
Michael J. Paul
Mixed Membership Markov Models for Unsupervised Conversation Modeling. EMNLP-CoNLL (2012)
Michael J. Paul, Mark Dredze
Factorial LDA: Sparse Multi-Dimensional Text Models. NIPS (2012)
Michael J. Paul, Jason Eisner
Implicitly Intersecting Weighted Automata using Dual Decomposition. HLT-NAACL (2012)
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)
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)
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)
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)
Michael J. Paul, Mark Dredze
You Are What You Tweet: Analyzing Twitter for Public Health. ICWSM (2011)
Roxana Girju, Michael J. Paul
Modeling reciprocity in social interactions with probabilistic latent space models. Nat. Lang. Eng. 17 (1) (2011)
Michael J. Paul, ChengXiang Zhai, Roxana Girju
Summarizing Contrastive Viewpoints in Opinionated Text. EMNLP (2010)
Michael J. Paul, Roxana Girju
A Two-Dimensional Topic-Aspect Model for Discovering Multi-Faceted Topics. AAAI (2010)
Michael J. Paul, Roxana Girju
Comparative Scientific Research Analysis with A Language-Independent Cross-Collection Model. Proces. del Leng. Natural 45 (2010)
Michael J. Paul, Roxana Girju
Cross-Cultural Analysis of Blogs and Forums with Mixed-Collection Topic Models. EMNLP (2009)
Michael J. Paul, Roxana Girju, Chen Li
Mining the Web for Reciprocal Relationships. CoNLL (2009)
Michael J. Paul, Roxana Girju
Topic Modeling of Research Fields: An Interdisciplinary Perspective. RANLP (2009)