Publications
- Discovering and Controlling for Latent Confounds in Text Classification Using Adversarial Domain Adaptation, Virgile Landeiro, Aron Culotta, SDM 2019
- When do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception using Individual Treatment Effect Estimation, Zhao Wang, Aron Culotta, AAAI 2019
- Forecasting the presence and intensity of hostility on Instagram using linguistic and social features, Ping Liu, Joshua Guberman, Libby Hemphill, Aron Culotta, ICWSM 2018
- Robust Text Classification under Confounding Shift, Virgile Landeiro, Aron Culotta, JAIR 2018
- Learning from noisy label proportions for classifying online social data, Ehsan Mohammady Ardehaly, Aron Culotta, SNAM 2018
- Mining the Demographics of Political Sentiment from Twitter Using Learning from Label Proportions, Ehsan Mohammady Ardehaly, Aron Culotta, ICDM 2017
- Co-training for Demographic Classification Using Deep Learning from Label Proportions, Ehsan Mohammady Ardehaly, Aron Culotta, ICDM 2017
- Are Words Commensurate with Actions? Quantifying Commitment to a Cause from Online Public Messaging, Zhao Wang, Aron Culotta, ICDM 2017
- Controlling for Unobserved Confounds in Classification Using Correlational Constraints, Virgile Landeiro, Aron Culotta, ICWSM 2017
- Identifying leading indicators of product recalls from online reviews using positive unlabeled learning and domain adaptation, Shreesh Kumara Bhat, Aron Culotta, ICWSM 2017
- Using online social networks to measure consumers’ brand perception, Jennifer Cutler, Aron Culotta,
- #Polar Scores: Measuring Partisanship Using Social Media Content, Libby Hemphill, Aron Culotta, Matthew Heston, JITP
- Cold-Start Recommendations for Audio News Stories Using Matrix Factorization, Ehsan Mohammady Ardehaly, Aron Culotta, IJCAI 2016
- Domain Adaptation for Learning from Label Proportions Using Self-Training, Ehsan Mohammady Ardehaly, Aron Culotta, IJCAI 2016
- Robust Text Classification in the Presence of Confounding Bias, Virgile Landeiro, Aron Culotta, AAAI 2016
- Reducing confounding bias in observational studies that use text classification, Virgile Landeiro, Aron Culotta, OSSM 2016
- Predicting Twitter User Demographics using Distant Supervision from Website Traffic Data, Aron Culotta, Nirmal Kumar Ravi, Jennifer Cutler, JAIR
- Mining brand perceptions from Twitter social networks, Aron Culotta, Jennifer Cutler, Marketing Science
- Training a text classifier with a single word using Twitter Lists and domain adaptation, Aron Culotta, Social Network Analysis and Mining
- A demographic and sentiment analysis of e-cigarette messages on Twitter, Elaine Cristina Resende, Aron Culotta, CHS 2015
- Finding truth in cause-related advertising: A lexical analysis of brands' health, environment, and social justice communications on Twitter, Aron Culotta, Jennifer Cutler, Junzhe Zheng, Journal of Values-Based Leadership
- Inferring latent attributes of Twitter users with label regularization, Ehsan Mohammady Ardehaly, Aron Culotta, NAACL/HLT 2015
- Using Matched Samples to Estimate the Effects of Exercise on Mental Health from Twitter, Virgile Landeiro Dos Reis, Aron Culotta, AAAI 2015
- Predicting the Demographics of Twitter Users from Website Traffic Data, Aron Culotta, Nirmal Ravi Kumar, Jennifer Cutler, AAAI 2015
- Reducing Sampling Bias in Social Media Data for County Health Inference, Aron Culotta, JSM Proceedings
- Anytime Active Learning, Maria E Ramirez-Loaiza, Aron Culotta, Mustafa Bilgic, AAAI 2014
- Using county demographics to infer attributes of Twitter users, Ehsan Mohammady, Aron Culotta, ACL Joint Workshop on Social Dynamics and Personal Attributes in Social Media
- Tweedr: Mining Twitter to Inform Disaster Response, Zahra Ashktorab, Christopher Brown, Manojit Nandi, Aron Culotta, ISCRAM 2014
- Estimating County Health Statistics with Twitter, Aron Culotta, CHI 2014
- Inferring the Origin Locations of Tweets with Quantitative Confidence, Reid Priedhorsky, Aron Culotta, Sara Y. Del Valle, CSCW 2014
- Lightweight methods to estimate influenza rates and alcohol sales volume from Twitter messages, Aron Culotta, Language Resources and Evaluation, 2013
- Too Neurotic, Not too Friendly: Structured Personality Classification on Textual Data, Francisco Iacobelli and Aron Culotta, ICWSM 2013 Workshop
- Towards Anytime Active Learning: Interrupting Experts to Reduce Annotation Costs, Maria E. Ramirez-Loaiza, Aron Culotta, and Mustafa Bilgic, KDD 2013 Workshop
- A demographic analysis of online sentiment during Hurricane Irene, Benjamin Mandel, Aron Culotta, John Boulahanis, Danielle Stark, Bonnie Lewis and Jeremy Rodrigue, HLT/NAACL 2012 Workshop
- SampleRank: Training factor graphs with atomic gradients, Michael Wick, Khashayar Rohanimanesh, Kedar Bellare, Aron Culotta and Andrew McCallum, ICML 2011
- Detecting influenza epidemics by analyzing Twitter messages, Aron Culotta, arXiv:1007.4747v1 2010
- Towards detecting influenza epidemics by analyzing Twitter messages, Aron Culotta, KDD 2010 Workshop
- SampleRank: Learning preferences from atomic gradients, Michael Wick, Khashayar Rohanimanesh, Aron Culotta, and Andrew McCallum, NIPS 2010 Workshop
- An entity-based model for coreference resolution, Michael Wick, Aron Culotta, Khashayar Rohanimanesh and Andrew McCallum, ICDM 2009
- Learning and inference in weighted logic with application to natural language processing, Aron Culotta, PhD Thesis (UMass), 2008
- Sparse Message Passing Algorithms for Weighted Maximum Satisfiability, Aron Culotta, Andrew McCallum, Bart Selman, and Ashish Sabharwal, NESCAI 2007
- First-Order Probabilistic Models for Coreference Resolution, Aron Culotta, Michael Wick, Robert Hall, and Andrew McCallum, HLT/NAACL 2007
- Canonicalization of Database Records using Adaptive Similarity Measures, Aron Culotta, Michael Wick, Robert Hall, Matthew Marzilli and Andrew McCallum, KDD 2007
- Author Disambiguation using Error-driven Machine Learning with a Ranking Loss Function, Aron Culotta, Pallika Kanani, Robert Hall, Michael Wick, and Andrew McCallum, AAAI 2007 Workshop
- Tractable Learning and Inference with High-Order Representations, Aron Culotta and Andrew McCallum, ICML 2006 Workshop
- Practical Markov logic containing first-order quantifiers with application to identity uncertainty, Aron Culotta and Andrew McCallum, HLT/NAACL 2006 Workshop
- Learning field compatibilities to extract database records from unstructured text, Michael Wick, Aron Culotta, and Andrew McCallum, EMNLP 2006
- Integrating probabilistic extraction models and data mining to discover relations and patterns in text, Aron Culotta, Andrew McCallum, and Jonathan Betz, HLT/NAACL 2006
- Corrective Feedback and Persistent Learning for Information Extraction, Aron Culotta, Trausti Kristjansson, Andrew McCallum and Paul Viola, Artificial Intelligence 2006
- Reducing labeling effort for structured prediction tasks, Aron Culotta and Andrew McCallum, AAAI 2005
- Learning clusterwise similarity with first-order features, Aron Culotta and Andrew McCallum, NIPS 2005 Workshop
- Joint deduplication of multiple record types in relational data, Aron Culotta and Andrew McCallum, CIKM 2005
- Interactive information extraction with constrained conditional random fields, Trausti Kristjannson, Aron Culotta, Paul Viola, and Andrew McCallum, AAAI 2004
- Extracting social networks and contact information from email and the Web, Aron Culotta, Ron Bekkerman, and Andrew McCallum, CEAS 2004
- Dependency tree kernels for relation extraction, Aron Culotta and Jeffery Sorensen, ACL 2004
- Confidence estimation for information extraction, Aron Culotta and Andrew McCallum, HLT 2004