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Michael 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) - [c43]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 - [c42]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
- [c41]Xiaolei Huang
Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models. ACL (1) 2019: 4113-4123 - [c40]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 - [c39]Linzi Xing, Michael J. Paul, Giuseppe Carenini:
Evaluating Topic Quality with Posterior Variability. EMNLP/IJCNLP (1) 2019: 3469-3475 - [c38]Avijit Thawani, Michael J. Paul, Urmimala Sarkar, Byron C. Wallace:
Are Online Reviews of Physicians Biased Against Female Providers? MLHC 2019: 406-423 - [c37]Shudong Hao, Michael J. Paul:
Analyzing Bayesian Crosslingual Transfer in Topic Models. NAACL-HLT (1) 2019: 1551-1565 - [c36]Davy Weissenbacher, Abeed Sarker
Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019. SMM4H@ACL 2019: 21-30 - [c35]Xiaolei Huang
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
- [c34]Linzi Xing, Michael J. Paul:
Diagnosing and Improving Topic Models by Analyzing Posterior Variability. AAAI 2018: 6005-6012 - [c33]Xiaolei Huang
Examining Temporality in Document Classification. ACL (2) 2018: 694-699 - [c32]Shudong Hao, Michael J. Paul:
Learning Multilingual Topics from Incomparable Corpora. COLING 2018: 2595-2609 - [c31]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 - [c30]Davy Weissenbacher, Abeed Sarker
Overview of the Third Social Media Mining for Health (SMM4H) Shared Tasks at EMNLP 2018. SMM4H@EMNLP 2018: 13-16 - [e1]Graciela Gonzalez-Hernandez, Davy Weissenbacher, Abeed Sarker, Michael J. Paul:
Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, SMM4H@EMNLP 2018, Brussels, Belgium, October 31, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-77-3 [contents] - [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
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
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
Exploring Timelines of Confirmed Suicide Incidents Through Social Media. ICHI 2017: 470-477 - 2016
- [j8]Michael J. Paul
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
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
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
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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last updated on 2024-10-07 22:21 CEST by the dblp team
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