Lyle H. Ungar - RankMe

303 papers A* 40A 23B 5C 4Misc 3Journal 134Unranked 89

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Concise Agent is Less Expert: Revealing Side Effects of Using Style Features on Conversational Agents. CoRR Young-Min Cho, Yuan Yuan, Sharath Chandra Guntuku, Lyle H. Ungar
2026	J	`jnl`	Closing the Confidence-Faithfulness Gap in Large Language Models. CoRR Miranda Muqing Miao, Lyle H. Ungar
2026	J	`jnl`	Correctness-Optimized Residual Activation Lens (CORAL): Transferrable and Calibration-Aware Inference-Time Steering. CoRR Miranda Muqing Miao, Young-Min Cho, Lyle H. Ungar
2026	A*	`conf`	LaTeX2Layout: High-Fidelity, Scalable Document Layout Annotation Pipeline for Layout Detection. AAAI Feijiang Han, Zelong Wang, Bowen Wang, Xinxin Liu, Skyler Cheung, Delip Rao, Chris Callison-Burch, Lyle H. Ungar
2026	J	`jnl`	Real-Time Deadlines Reveal Temporal Awareness Failures in LLM Strategic Dialogues. CoRR Neil K. R. Sehgal, Sharath Chandra Guntuku, Lyle H. Ungar
2026	J	`jnl`	Self-Reported Side Effects of Semaglutide and Tirzepatide in Online Communities. CoRR Neil K. R. Sehgal, Jena Shaw Tronieri, Lyle H. Ungar, Sharath Chandra Guntuku
2026	A*	`conf`	Voice-Based Chatbots for English Speaking Practice in Multilingual Low-Resource Indian Schools: A Multi-Stakeholder Study. CHI Sneha Shashidhara, Vivienne Bihe Chi, Abhay P. Singh, Lyle H. Ungar, Sharath Chandra Guntuku
2026	J	`jnl`	Voice-Based Chatbots for English Speaking Practice in Multilingual Low-Resource Indian Schools: A Multi-Stakeholder Study. CoRR Sneha Shashidhara, Vivienne Bihe Chi, Abhay P. Singh, Lyle H. Ungar, Sharath Chandra Guntuku
2025	J	`jnl`	Beyond the Strongest LLM: Multi-Turn Multi-Agent Orchestration vs. Single LLMs on Benchmarks. CoRR Aaron Xuxiang Tian, Ruofan Zhang, Jiayao Tang, Young Min Cho, Xueqian Li, Qiang Yi, Ji Wang, Zhunping Zhang, Danrui Qi, Zekun Li, Xingyu Xiang, Sharath Chandra Guntuku, Lyle H. Ungar, Tianyu Shi, Chi Wang
2025	—	`conf`	ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotations. EMNLP (Findings) Bowen Jiang, Yuan Yuan, Xinyi Bai, Zhuoqun Hao, Alyson Yin, Yaojie Hu, Wenyu Liao, Lyle H. Ungar, Camillo Jose Taylor
2025	J	`jnl`	ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotations. CoRR Bowen Jiang, Yuan Yuan, Xinyi Bai, Zhuoqun Hao, Alyson Yin, Yaojie Hu, Wenyu Liao, Lyle H. Ungar, Camillo J. Taylor
2025	J	`jnl`	Conversations with AI Chatbots Increase Short-Term Vaccine Intentions But Do Not Outperform Standard Public Health Messaging. CoRR Neil K. R. Sehgal, Sunny Rai, Manuel Tonneau, Anish K. Agarwal, Joseph Cappella, Melanie Kornides, Lyle H. Ungar, Alison M. Buttenheim, Sharath Chandra Guntuku
2025	J	`jnl`	Culturally-Aware Conversations: A Framework & Benchmark for LLMs. CoRR Shreya Havaldar, Sunny Rai, Young-Min Cho, Lyle H. Ungar
2025	J	`jnl`	Designing Mental-Health Chatbots for Indian Adolescents: Mixed-Methods Evidence, a Boundary-Object Lens, and a Design-Tensions Framework. CoRR Neil K. R. Sehgal, Hita Kambhamettu, Sai Preethi Matam, Lyle H. Ungar, Sharath Chandra Guntuku
2025	J	`jnl`	Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers? CoRR Yihao Li, Saeed Salehi, Lyle H. Ungar, Konrad P. Kording
2025	J	`jnl`	Effect of Static vs. Conversational AI-Generated Messages on Colorectal Cancer Screening Intent: a Randomized Controlled Trial. CoRR Neil K. R. Sehgal, Manuel Tonneau, Andy Tan, Shivan J. Mehta, Alison M. Buttenheim, Lyle H. Ungar, Anish K. Agarwal, Sharath Chandra Guntuku
2025	A*	`conf`	Efficient Management of LLM-Based Coaching Agents' Reasoning While Maintaining Interaction Quality and Speed. CHI Andreas Göldi, Roman Rietsche, Lyle H. Ungar
2025	J	`jnl`	Efficient RL for optimizing conversation level outcomes with an LLM-based tutor. CoRR Hyunji Nam, Omer Gottesman, Amy Zhang, Dean P. Foster, Emma Brunskill, Lyle H. Ungar
2025	—	`conf`	Exploring Socio-Cultural Challenges and Opportunities in Designing Mental Health Chatbots for Adolescents in India. CHI Extended Abstracts Neil K. R. Sehgal, Hita Kambhamettu, Sai Preethi Matam, Lyle H. Ungar, Sharath Chandra Guntuku
2025	J	`jnl`	Exploring Socio-Cultural Challenges and Opportunities in Designing Mental Health Chatbots for Adolescents in India. CoRR Neil K. R. Sehgal, Hita Kambhamettu, Sai Preethi Matam, Lyle H. Ungar, Sharath Chandra Guntuku
2025	J	`jnl`	Herd Behavior: Investigating Peer Influence in LLM-based Multi-Agent Systems. CoRR Young-Min Cho, Sharath Chandra Guntuku, Lyle H. Ungar
2025	J	`jnl`	Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale. CoRR Bowen Jiang, Zhuoqun Hao, Young-Min Cho, Bryan Li, Yuan Yuan, Sihao Chen, Lyle H. Ungar, Camillo J. Taylor, Dan Roth
2025	—	`conf`	Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination. NAACL (Findings) Young Min Cho, Dandan Pang, Stuti Thapa, Garrick Sherman, Lyle H. Ungar, Louis Tay, Sharath Chandra Guntuku
2025	J	`jnl`	Learning not cheating: AI assistance can enhance rather than hinder skill development. CoRR Benjamin Lira, Todd Rogers, Daniel G. Goldstein, Lyle H. Ungar, Angela Lee Duckworth
2025	J	`jnl`	PAL: Designing Conversational Agents as Scalable, Cooperative Patient Simulators for Palliative-Care Training. CoRR Neil K. R. Sehgal, Hita Kambhamettu, Allen Chang, Andrew Zhu, Lyle H. Ungar, Sharath Chandra Guntuku
2025	—	`conf`	PAL: Designing Conversational Agents as Scalable, Cooperative Patient Simulators for Palliative‑Care Training. CSCW Companion Neil K. R. Sehgal, Hita Kambhamettu, Allen Chang, Andrew Zhu, Lyle H. Ungar, Sharath Chandra Guntuku
2025	J	`jnl`	PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory. CoRR Bowen Jiang, Yuan Yuan, Maohao Shen, Zhuoqun Hao, Zhangchen Xu, Zichen Chen, Ziyi Liu, Anvesh Rao Vijjini, Jiashu He, Hanchao Yu, Radha Poovendran, Gregory W. Wornell, Lyle H. Ungar, Dan Roth, Sihao Chen, Camillo Jose Taylor
2025	J	`jnl`	Simple Methods Defend RAG Systems Well Against Real-World Attacks. CoRR Ilias Triantafyllopoulos, Renyi Qu, Salvatore Giorgi, Brenda Curtis, Lyle H. Ungar, João Sedoc
2025	—	`conf`	Social Norms in Cinema: A Cross-Cultural Analysis of Shame, Pride and Prejudice. NAACL (Long Papers) Sunny Rai, Khushang Jilesh Zaveri, Shreya Havaldar, Soumna Nema, Lyle H. Ungar, Sharath Chandra Guntuku
2025	—	`conf`	Systematic Evaluation of Auto-Encoding and Large Language Model Representations for Capturing Author States and Traits. ACL (Findings) Khushboo Singh, Vasudha Varadarajan, Adithya V. Ganesan, August Håkan Nilsson, Nikita Soni, Syeda Mahwish, Pranav Chitale, Ryan L. Boyd, Lyle H. Ungar, Richard N. Rosenthal, H. Andrew Schwartz
2025	J	`jnl`	T-FIX: Text-Based Explanations with Features Interpretable to eXperts. CoRR Shreya Havaldar, Helen Jin, Chaehyeon Kim, Anton Xue, Weiqiu You, Marco Gatti, Bhuvnesh Jain, Helen Qu, Daniel A. Hashimoto, Amin Madani, Rajat Deo, Sameed Ahmed M. Khatana, Gary E. Weissman, Lyle H. Ungar, Eric Wong
2025	J	`jnl`	The FIX Benchmark: Extracting Features Interpretable to eXperts. J. Data-centric Mach. Learn. Res. Helen Jin, Shreya Havaldar, Chaehyeon Kim, Anton Xue, Weiqiu You, Helen Qu, Marco Gatti, Daniel A. Hashimoto, Bhuvnesh Jain, Amin Madani, Masao Sako, Lyle H. Ungar, Eric Wong
2025	A*	`conf`	The Illusion of Empathy: How AI Chatbots Shape Conversation Perception. AAAI Tingting Liu, Salvatore Giorgi, Ankit Aich, Allison Lahnala, Brenda Curtis, Lyle H. Ungar, João Sedoc
2025	A*	`conf`	The Impact of Language Mixing on Bilingual LLM Reasoning. EMNLP Yihao Li, Jiayi Xin, Miranda Muqing Miao, Qi Long, Lyle H. Ungar
2025	J	`jnl`	The Impact of Language Mixing on Bilingual LLM Reasoning. CoRR Yihao Li, Jiayi Xin, Miranda Muqing Miao, Qi Long, Lyle H. Ungar
2025	—	`conf`	Towards Style Alignment in Cross-Cultural Translation. ACL (1) Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar
2025	J	`jnl`	Towards Style Alignment in Cross-Cultural Translation. CoRR Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar
2025	J	`jnl`	ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training. CoRR Feijiang Han, Xiaodong Yu, Jianheng Tang, Lyle H. Ungar
2024	J	`jnl`	A Cross-Cultural Analysis of Social Norms in Bollywood and Hollywood Movies. CoRR Sunny Rai, Khushang Jilesh Zaveri, Shreya Havaldar, Soumna Nema, Lyle H. Ungar, Sharath Chandra Guntuku
2024	—	`conf`	Building Knowledge-Guided Lexica to Model Cultural Variation. NAACL-HLT Shreya Havaldar, Salvatore Giorgi, Sunny Rai, Thomas Talhelm, Sharath Chandra Guntuku, Lyle H. Ungar
2024	J	`jnl`	Building Knowledge-Guided Lexica to Model Cultural Variation. CoRR Shreya Havaldar, Salvatore Giorgi, Sunny Rai, Thomas Talhelm, Sharath Chandra Guntuku, Lyle H. Ungar
2024	J	`jnl`	DiverseDialogue: A Methodology for Designing Chatbots with Human-Like Diversity. CoRR Xiaoyu Lin, Xinkai Yu, Ankit Aich, Salvatore Giorgi, Lyle H. Ungar
2024	J	`jnl`	Empirical influence functions to understand the logic of fine-tuning. CoRR Jordan K. Matelsky, Lyle H. Ungar, Konrad P. Kording
2024	J	`jnl`	Explicit and Implicit Large Language Model Personas Generate Opinions but Fail to Replicate Deeper Perceptions and Biases. CoRR Salvatore Giorgi, Tingting Liu, Ankit Aich, Kelsey Isman, Garrick Sherman, Zachary Fried, João Sedoc, Lyle H. Ungar, Brenda Curtis
2024	J	`jnl`	Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination. CoRR Young-Min Cho, Dandan Pang, Stuti Thapa, Garrick Sherman, Lyle H. Ungar, Louis Tay, Sharath Chandra Guntuku
2024	J	`jnl`	Large Language Models Show Human-like Social Desirability Biases in Survey Responses. CoRR Aadesh Salecha, Molly E. Ireland, Shashanka Subrahmanya, João Sedoc, Lyle H. Ungar, Johannes C. Eichstaedt
2024	A	`conf`	Measuring Causal Effects of Civil Communication without Randomization. ICWSM Tony Liu, Lyle H. Ungar, Konrad P. Kording, Morgan McGuire
2024	—	`conf`	Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personas. EMNLP (Findings) Salvatore Giorgi, Tingting Liu, Ankit Aich, Kelsey Isman, Garrick Sherman, Zachary Fried, João Sedoc, Lyle H. Ungar, Brenda Curtis
2024	J	`jnl`	PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health. CoRR Huy Vu, Huy Anh Nguyen, Adithya V. Ganesan, Swanie Juhng, Oscar N. E. Kjell, João Sedoc, Margaret L. Kern, Ryan L. Boyd, Lyle H. Ungar, H. Andrew Schwartz, Johannes C. Eichstaedt
2024	J	`jnl`	The FIX Benchmark: Extracting Features Interpretable to eXperts. CoRR Helen Jin, Shreya Havaldar, Chaehyeon Kim, Anton Xue, Weiqiu You, Helen Qu, Marco Gatti, Daniel A. Hashimoto, Bhuvnesh Jain, Amin Madani, Masao Sako, Lyle H. Ungar, Eric Wong
2024	J	`jnl`	The Illusion of Empathy: How AI Chatbots Shape Conversation Perception. CoRR Tingting Liu, Salvatore Giorgi, Ankit Aich, Allison Lahnala, Brenda Curtis, Lyle H. Ungar, João Sedoc
2024	J	`jnl`	Vernacular? I Barely Know Her: Challenges with Style Control and Stereotyping. CoRR Ankit Aich, Tingting Liu, Salvatore Giorgi, Kelsey Isman, Lyle H. Ungar, Brenda Curtis
2023	A*	`conf`	An "Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives". EMNLP Young Min Cho, Sunny Rai, Lyle H. Ungar, João Sedoc, Sharath Chandra Guntuku
2023	J	`jnl`	An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives. CoRR Young Min Cho, Sunny Rai, Lyle H. Ungar, João Sedoc, Sharath Chandra Guntuku
2023	J	`jnl`	Author Correction: Opioid death projections with AI-based forecasts using social media language. npj Digit. Medicine Matthew Matero, Salvatore Giorgi, Brenda Curtis, Lyle H. Ungar, H. Andrew Schwartz
2023	J	`jnl`	Automated Detection of Causal Inference Opportunities: Regression Discontinuity Subgroup Discovery. Trans. Mach. Learn. Res. Tony Liu, Patrick N. Lawlor, Lyle H. Ungar, Konrad P. Kording, Rahul Ladhania
2023	J	`jnl`	Building a Multimodal Classifier of Email Behavior: Towards a Social Network Understanding of Organizational Communication. Inf. Harsh Shah, Kokil Jaidka, Lyle H. Ungar, Jesse Fagan, Travis J. Grosser
2023	A*	`conf`	Comparing Styles across Languages. EMNLP Shreya Havaldar, Matthew Pressimone, Eric Wong, Lyle H. Ungar
2023	J	`jnl`	Comparing Styles across Languages. CoRR Shreya Havaldar, Matthew Pressimone, Eric Wong, Lyle H. Ungar
2023	A*	`conf`	Conceptor-Aided Debiasing of Large Language Models. EMNLP Yifei Li, Lyle H. Ungar, João Sedoc
2023	—	`conf`	Conditioning on Dialog Acts improves Empathy Style Transfer. EMNLP (Findings) Renyi Qu, Lyle H. Ungar, João Sedoc
2023	—	`conf`	Detecting Symptoms of Depression on Reddit. WebSci Tingting Liu, Devansh Jain, Shivani R. Rapole, Brenda Curtis, Johannes C. Eichstaedt, Lyle H. Ungar, Sharath Chandra Guntuku
2023	A	`conf`	Different Affordances on Facebook and SMS Text Messaging Do Not Impede Generalization of Language-Based Predictive Models. ICWSM Tingting Liu, Salvatore Giorgi, Xiangyu Tao, Sharath Chandra Guntuku, Douglas Bellew, Brenda Curtis, Lyle H. Ungar
2023	J	`jnl`	Historical patterns of rice farming explain modern-day language use in China and Japan more than modernization and urbanization. CoRR Sharath Chandra Guntuku, Thomas Talhelm, Garrick Sherman, Angel Fan, Salvatore Giorgi, Liuqing Wei, Lyle H. Ungar
2023	J	`jnl`	Human-Centered Metrics for Dialog System Evaluation. CoRR Salvatore Giorgi, Shreya Havaldar, Farhan Ahmed, Zuhaib Akhtar, Shalaka Vaidya, Gary Pan, Lyle H. Ungar, H. Andrew Schwartz, João Sedoc
2023	—	`conf`	Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. ACL (Findings) Maria Leonor Pacheco, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser
2023	J	`jnl`	Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. CoRR Maria Leonor Pacheco, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser
2023	J	`jnl`	Mining for equitable health: Assessing the impact of missing data in electronic health records. J. Biomed. Informatics Emily J. Getzen, Lyle H. Ungar, Danielle L. Mowery, Xiaoqian Jiang, Qi Long
2023	—	`conf`	Multilingual Language Models are not Multicultural: A Case Study in Emotion. WASSA@ACL Shreya Havaldar, Bhumika Singhal, Sunny Rai, Langchen Liu, Sharath Chandra Guntuku, Lyle H. Ungar
2023	J	`jnl`	Multilingual Language Models are not Multicultural: A Case Study in Emotion. CoRR Shreya Havaldar, Sunny Rai, Bhumika Singhal, Langchen Liu, Sharath Chandra Guntuku, Lyle H. Ungar
2023	J	`jnl`	Opioid death projections with AI-based forecasts using social media language. npj Digit. Medicine Matthew Matero, Salvatore Giorgi, Brenda Curtis, Lyle H. Ungar, H. Andrew Schwartz
2023	J	`jnl`	Personalized Assignment to One of Many Treatment Arms via Regularized and Clustered Joint Assignment Forests. CoRR Rahul Ladhania, Jann Spiess, Lyle H. Ungar, Wenbo Wu
2023	—	`conf`	Prospective Learning: Principled Extrapolation to the Future. CoLLAs Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael L. Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam S. Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein
2023	A	`conf`	StyLEx: Explaining Style Using Human Lexical Annotations. EACL Shirley Anugrah Hayati, Kyumin Park, Dheeraj Rajagopal, Lyle H. Ungar, Dongyeop Kang
2023	—	`conf`	TopEx: Topic-based Explanations for Model Comparison. Tiny Papers @ ICLR Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar
2023	J	`jnl`	TopEx: Topic-based Explanations for Model Comparison. CoRR Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar
2022	—	`conf`	A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. NAACL-HLT Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle H. Ungar, Dan Goldwasser
2022	J	`jnl`	A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. CoRR Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle H. Ungar, Dan Goldwasser
2022	J	`jnl`	Conceptor-Aided Debiasing of Contextualized Embeddings. CoRR Yifei Li, Lyle H. Ungar, João Sedoc
2022	A	`conf`	Correcting Sociodemographic Selection Biases for Population Prediction from Social Media. ICWSM Salvatore Giorgi, Veronica E. Lynn, Keshav Gupta, Farhan Ahmed, Sandra Matz, Lyle H. Ungar, H. Andrew Schwartz
2022	J	`jnl`	Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis. CoRR Tingting Liu, Salvatore Giorgi, Xiangyu Tao, Douglas Bellew, Brenda Curtis, Lyle H. Ungar
2022	—	`conf`	Data-driven exclusion criteria for instrumental variable studies. CLeaR Tony Liu, Patrick N. Lawlor, Lyle H. Ungar, Konrad P. Kording
2022	J	`jnl`	Empathic Conversations: A Multi-level Dataset of Contextualized Conversations. CoRR Damilola Omitaomu, Shabnam Tafreshi, Tingting Liu, Sven Buechel, Chris Callison-Burch, Johannes C. Eichstaedt, Lyle H. Ungar, João Sedoc
2022	—	`conf`	Inducing Generalizable and Interpretable Lexica. EMNLP (Findings) Yilin Geng, Zetian Wu, Roshan Santhosh, Tejas Srivastava, Lyle H. Ungar, João Sedoc
2022	—	`conf`	Measuring the Language of Self-Disclosure across Corpora. ACL (Findings) Ann-Katrin Reuel, Sebastian Peralta, João Sedoc, Garrick Sherman, Lyle H. Ungar
2022	J	`jnl`	Prospective Learning: Back to the Future. CoRR Joshua T. Vogelstein, Timothy D. Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam S. Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael L. Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang
2022	A	`conf`	Social Media Reveals Urban-Rural Differences in Stress across China. ICWSM Jesse Cui, Tingdan Zhang, Kokil Jaidka, Dandan Pang, Garrick Sherman, Vinit Jakhetiya, Lyle H. Ungar, Sharath Chandra Guntuku
2022	J	`jnl`	StyLEx: Explaining Styles with Lexicon-Based Human Perception. CoRR Shirley Anugrah Hayati, Kyumin Park, Dheeraj Rajagopal, Lyle H. Ungar, Dongyeop Kang
2022	J	`jnl`	Word embeddings trained on published case reports are lightweight, effective for clinical tasks, and free of protected health information. J. Biomed. Informatics Zachary N. Flamholz, Andrew Crane-Droesch, Lyle H. Ungar, Gary E. Weissman
2021	—	`conf`	Characterizing Social Spambots by their Human Traits. ACL/IJCNLP (Findings) Salvatore Giorgi, Lyle H. Ungar, H. Andrew Schwartz
2021	J	`jnl`	Development and validation of a prediction model for actionable aspects of frailty in the text of clinicians' encounter notes. J. Am. Medical Informatics Assoc. Jacob A. Martin, Andrew Crane-Droesch, Folasade C. Lapite, Joseph C. Puhl, Tyler E. Kmiec, Jasmine A. Silvestri, Lyle H. Ungar, Bruce P. Kinosian, Blanca E. Himes, Rebecca A. Hubbard, Joshua M. Diamond, Vivek N. Ahya, Michael W. Sims, Scott D. Halpern, Gary E. Weissman
2021	—	`conf`	Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica. EMNLP (1) Shirley Anugrah Hayati, Dongyeop Kang, Lyle H. Ungar
2021	J	`jnl`	Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica. CoRR Shirley Anugrah Hayati, Dongyeop Kang, Lyle H. Ungar
2021	J	`jnl`	Information-seeking vs. sharing: Which explains regional health? An analysis of Google Search and Twitter trends. Telematics Informatics Kokil Jaidka, Johannes C. Eichstaedt, Salvatore Giorgi, H. Andrew Schwartz, Lyle H. Ungar
2021	—	`ed.`	Proceedings of the 4th Workshop on Affective Content Analysis (AffCon 2021) co-located with Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), February 9, 2021. AffCon@AAAI Niyati Chhaya, Kokil Jaidka, Jennifer Healey, Lyle H. Ungar, Atanu Sinha
2021	J	`jnl`	Quantifying causality in data science with quasi-experiments. Nat. Comput. Sci. Tony Liu, Lyle H. Ungar, Konrad P. Kording
2021	J	`jnl`	Social Media Reveals Urban-Rural Differences in Stress across China. CoRR Jesse Cui, Tingdan Zhang, Dandan Pang, Kokil Jaidka, Garrick Sherman, Vinit Jakhetiya, Lyle H. Ungar, Sharath Chandra Guntuku
2021	J	`jnl`	Social media language of healthcare super-utilizers. npj Digit. Medicine Sharath Chandra Guntuku, Elissa V. Klinger, Haley J. McCalpin, Lyle H. Ungar, David A. Asch, Raina M. Merchant
2021	J	`jnl`	The rural-urban stress divide: Obtaining geographical insights through Twitter. Comput. Hum. Behav. Kokil Jaidka, Sharath Chandra Guntuku, Jane H. Lee, Zhengyi Luo, Anneke Buffone, Lyle H. Ungar
2021	A	`conf`	Well-Being Depends on Social Comparison: Hierarchical Models of Twitter Language Suggest That Richer Neighbors Make You Less Happy. ICWSM Salvatore Giorgi, Sharath Chandra Guntuku, Johannes C. Eichstaedt, Claire Pajot, H. Andrew Schwartz, Lyle H. Ungar
2021	—	`conf`	WikiTalkEdit: A Dataset for modeling Editors' behaviors on Wikipedia. NAACL-HLT Kokil Jaidka, Andrea Ceolin, Iknoor Singh, Niyati Chhaya, Lyle H. Ungar
2020	—	`conf`	A report of the CL-Aff OffMyChest Shared Task: Modeling Supportiveness and Disclosure. AffCon@AAAI Kokil Jaidka, Iknoor Singh, Jiahui Liu, Niyati Chhaya, Lyle H. Ungar
2020	A	`conf`	Beyond Positive Emotion: Deconstructing Happy Moments Based on Writing Prompts. ICWSM Kokil Jaidka, Niyati Chhaya, Saran Mumick, Matthew Killingsworth, Alon Y. Halevy, Lyle H. Ungar
2020	—	`conf`	Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings. NLP4COVID@EMNLP Roshan Santosh, H. Andrew Schwartz, Johannes C. Eichstaedt, Lyle H. Ungar, Sharath Chandra Guntuku
2020	J	`jnl`	Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings. CoRR Roshan Santosh, H. Andrew Schwartz, Johannes C. Eichstaedt, Lyle H. Ungar, Sharath Chandra Guntuku
2020	—	`conf`	Editorial for the 3rd Workshop on Affective Content Analysis (AffCon) at AAAI 2020. AffCon@AAAI Niyati Chhaya, Kokil Jaidka, Jennifer Healey, Lyle H. Ungar, Atanu R. Sinha
2020	J	`jnl`	Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods. Proc. Natl. Acad. Sci. USA Kokil Jaidka, Salvatore Giorgi, H. Andrew Schwartz, Margaret L. Kern, Lyle H. Ungar, Johannes C. Eichstaedt
2020	J	`jnl`	Generalized SHAP: Generating multiple types of explanations in machine learning. CoRR Dillon Bowen, Lyle H. Ungar
2020	Misc	`conf`	Identifying Actionable Aspects of Frailty in the Text of Encounter Notes. AMIA Jacob A. Martin, Andrew Crane-Droesch, Folasade C. Lapite, Joseph C. Puhl, Jasmine A. Silvestri, Bruce P. Kinosian, Blanca E. Himes, Rebecca A. Hubbard, Vivek N. Ahya, Michael W. Sims, Joshua M. Diamond, Joseph Adler, Elizabeth Steele, Emily Ott, Lyle H. Ungar, Scott D. Halpern, Gary E. Weissman
2020	—	`conf`	Item Response Theory for Efficient Human Evaluation of Chatbots. Eval4NLP João Sedoc, Lyle H. Ungar
2020	B	`conf`	Learning Word Ratings for Empathy and Distress from Document-Level User Responses. LREC João Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle H. Ungar
2020	—	`conf`	Predicting Responses to Psychological Questionnaires from Participants' Social Media Posts and Question Text Embeddings. EMNLP (Findings) Huy Vu, Suhaib Abdurahman, Sudeep Bhatia, Lyle H. Ungar
2020	—	`ed.`	Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, February 7, 2020. AffCon@AAAI Niyati Chhaya, Kokil Jaidka, Jennifer Healey, Lyle H. Ungar, Atanu R. Sinha
2020	A*	`conf`	Small Steps to Accuracy: Incremental Belief Updaters Are Better Forecasters. EC Pavel Atanasov, Jens Witkowski, Lyle H. Ungar, Barbara A. Mellers, Philip Tetlock
2020	J	`jnl`	Studying Politeness across Cultures Using English Twitter and Mandarin Weibo. CoRR Mingyang Li, Louis Hickman, Louis Tay, Lyle H. Ungar, Sharath Chandra Guntuku
2020	J	`jnl`	Studying Politeness across Cultures using English Twitter and Mandarin Weibo. Proc. ACM Hum. Comput. Interact. Mingyang Li, Louis Hickman, Louis Tay, Lyle H. Ungar, Sharath Chandra Guntuku
2020	—	`conf`	Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments. EMNLP (1) Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim A. Elmadany, Lyle H. Ungar
2020	J	`jnl`	Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments. CoRR Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim A. Elmadany, Lyle H. Ungar
2019	—	`conf`	ChatEval: A Tool for Chatbot Evaluation. NAACL-HLT (Demonstrations) João Sedoc, Daphne Ippolito, Arun Kirubarajan, Jai Thirani, Lyle H. Ungar, Chris Callison-Burch
2019	J	`jnl`	Conceptor Debiasing of Word Representations Evaluated on WEAT. CoRR Saket Karve, Lyle H. Ungar, João Sedoc
2019	J	`jnl`	Construct validity of six sentiment analysis methods in the text of encounter notes of patients with critical illness. J. Biomed. Informatics Gary E. Weissman, Lyle H. Ungar, Michael O. Harhay, Katherine R. Courtright, Scott D. Halpern
2019	—	`conf`	Continual Learning for Sentence Representations Using Conceptors. NAACL-HLT (1) Tianlin Liu, Lyle H. Ungar, João Sedoc
2019	J	`jnl`	Continual Learning for Sentence Representations Using Conceptors. CoRR Tianlin Liu, Lyle H. Ungar, João Sedoc
2019	J	`jnl`	Correcting Sociodemographic Selection Biases for Accurate Population Prediction from Social Media. CoRR Salvatore Giorgi, Veronica E. Lynn, Sandra Matz, Lyle H. Ungar, H. Andrew Schwartz
2019	J	`jnl`	DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect. CoRR Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim A. Elmadany, Arun Rajendran, Lyle H. Ungar
2019	—	`conf`	Editorial for the 2nd Workshop on Affective Content Analysis (AffCon) at AAAI 2019. AffCon@AAAI Niyati Chhaya, Kokil Jaidka, Atanu R. Sinha, Lyle H. Ungar
2019	J	`jnl`	Expert-Augmented Machine Learning. CoRR Efstathios D. Gennatas, Jerome H. Friedman, Lyle H. Ungar, Romain Pirracchio, Eric Eaton, L. Reichman, Yannet Interian, Charles B. Simone II, A. Auerbach, E. Delgado, Mark J. van der Laan, Timothy D. Solberg, Gilmer Valdes
2019	—	`conf`	Exploring (Dis-)Similarities in Emoji-Emotion Association on Twitter and Weibo. WWW (Companion Volume) Mingyang Li, Sharath Chandra Guntuku, Vinit Jakhetiya, Lyle H. Ungar
2019	J	`jnl`	Learning Word Ratings for Empathy and Distress from Document-Level User Responses. CoRR João Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle H. Ungar
2019	J	`jnl`	Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Tony Liu, Jennifer Nicholas, Max-Marcel Theilig, Sharath Chandra Guntuku, Konrad P. Körding, David C. Mohr, Lyle H. Ungar
2019	—	`ed.`	Proceedings of the 2nd Workshop on Affective Content Analysis (AffCon 2019) co-located with Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, USA, January 27, 2019. AffCon@AAAI Niyati Chhaya, Kokil Jaidka, Atanu R. Sinha, Lyle H. Ungar
2019	J	`jnl`	Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media. CoRR Muhammad Abdul-Mageed, Chiyu Zhang, Arun Rajendran, AbdelRahim A. Elmadany, Michael Przystupa, Lyle H. Ungar
2019	A	`conf`	Studying Cultural Differences in Emoji Usage across the East and the West. ICWSM Sharath Chandra Guntuku, Mingyang Li, Louis Tay, Lyle H. Ungar
2019	J	`jnl`	Studying Cultural Differences in Emoji Usage across the East and the West. CoRR Sharath Chandra Guntuku, Mingyang Li, Louis Tay, Lyle H. Ungar
2019	—	`conf`	The CL-Aff Happiness Shared Task: Results and Key Insights. AffCon@AAAI Kokil Jaidka, Saran Mumick, Niyati Chhaya, Lyle H. Ungar
2019	A	`conf`	Understanding and Measuring Psychological Stress Using Social Media. ICWSM Sharath Chandra Guntuku, Anneke Buffone, Kokil Jaidka, Johannes C. Eichstaedt, Lyle H. Ungar
2019	A*	`conf`	Unsupervised Post-Processing of Word Vectors via Conceptor Negation. AAAI Tianlin Liu, Lyle H. Ungar, João Sedoc
2019	J	`jnl`	What Twitter Profile and Posted Images Reveal About Depression and Anxiety. CoRR Sharath Chandra Guntuku, Daniel Preotiuc-Pietro, Johannes C. Eichstaedt, Lyle H. Ungar
2019	A	`conf`	What Twitter Profile and Posted Images Reveal about Depression and Anxiety. ICWSM Sharath Chandra Guntuku, Daniel Preotiuc-Pietro, Johannes C. Eichstaedt, Lyle H. Ungar
2018	J	`jnl`	Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors. CoRR Tianlin Liu, João Sedoc, Lyle H. Ungar
2018	—	`conf`	Current and Future Psychological Health Prediction using Language and Socio-Demographics of Children for the CLPysch 2018 Shared Task. CLPsych@NAACL-HTL Sharath Chandra Guntuku, Salvatore Giorgi, Lyle H. Ungar
2018	—	`conf`	Diachronic degradation of language models: Insights from social media. ACL (2) Kokil Jaidka, Niyati Chhaya, Lyle H. Ungar
2018	—	`conf`	Enabling Deep Learning of Emotion With First-Person Seed Expressions. PEOPLES@NAACL-HTL Hassan Alhuzali, Muhammad Abdul-Mageed, Lyle H. Ungar
2018	A	`conf`	Facebook versus Twitter: Differences in Self-Disclosure and Trait Prediction. ICWSM Kokil Jaidka, Sharath Chandra Guntuku, Lyle H. Ungar
2018	Misc	`conf`	Fast Network Simulation Through Approximation or: How Blind Men Can Describe Elephants. HotNets Charles W. Kazer, João Sedoc, Kelvin K. W. Ng, Vincent Liu, Lyle H. Ungar
2018	A*	`conf`	Identifying Locus of Control in Social Media Language. EMNLP Masoud Rouhizadeh, Kokil Jaidka, Laura Smith, H. Andrew Schwartz, Anneke Buffone, Lyle H. Ungar
2018	J	`jnl`	Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations. CoRR Sven Buechel, João Sedoc, H. Andrew Schwartz, Lyle H. Ungar
2018	A*	`conf`	Modeling Empathy and Distress in Reaction to News Stories. EMNLP Sven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, João Sedoc
2018	J	`jnl`	Modeling Empathy and Distress in Reaction to News Stories. CoRR Sven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, João Sedoc
2018	A	`conf`	Modeling and Visualizing Locus of Control with Facebook Language. ICWSM Kokil Jaidka, Anneke Buffone, Johannes C. Eichstaedt, Masoud Rouhizadeh, Lyle H. Ungar
2018	—	`conf`	Multi-Attribute Topic Feature Construction for Social Media-based Prediction. IEEE BigData Alex Morales, Nupoor Gandhi, Man-pui Sally Chan, Sophie Lohmann, Travis Sanchez, Kathleen A. Brady, Lyle H. Ungar, Dolores Albarracin, ChengXiang Zhai
2018	—	`conf`	The AAAI-18 Workshop on Affective Content Analysis. AAAI Workshops Niyati Chhaya, Kokil Jaidka, Lyle H. Ungar
2018	A*	`conf`	The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. EMNLP Salvatore Giorgi, Daniel Preotiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle H. Ungar, H. Andrew Schwartz
2018	J	`jnl`	The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. CoRR Salvatore Giorgi, Daniel Preotiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle H. Ungar, H. Andrew Schwartz
2018	J	`jnl`	Understanding and Measuring Psychological Stress using Social Media. CoRR Sharath Chandra Guntuku, Anneke Buffone, Kokil Jaidka, Johannes C. Eichstaedt, Lyle H. Ungar
2018	B	`conf`	Unsupervised Morphology Learning with Statistical Paradigms. COLING Hongzhi Xu, Mitchell Marcus, Charles Yang, Lyle H. Ungar
2018	J	`jnl`	Unsupervised Post-processing of Word Vectors via Conceptor Negation. CoRR Tianlin Liu, Lyle H. Ungar, João Sedoc
2018	B	`conf`	User-Level Race and Ethnicity Predictors from Twitter Text. COLING Daniel Preotiuc-Pietro, Lyle H. Ungar
2017	A*	`conf`	Assessing Objective Recommendation Quality through Political Forecasting. EMNLP H. Andrew Schwartz, Masoud Rouhizadeh, Michael Bishop, Philip Tetlock, Barbara A. Mellers, Lyle H. Ungar
2017	—	`conf`	Beyond Binary Labels: Political Ideology Prediction of Twitter Users. ACL (1) Daniel Preotiuc-Pietro, Ye Liu, Daniel Hopkins, Lyle H. Ungar
2017	J	`jnl`	Confidence Calibration in a Multiyear Geopolitical Forecasting Competition. Manag. Sci. Don A. Moore, Samuel A. Swift, Angela Minster, Barbara A. Mellers, Lyle H. Ungar, Philip Tetlock, Heather H. J. Yang, Elizabeth R. Tenney
2017	A*	`conf`	Controlling Human Perception of Basic User Traits. EMNLP Daniel Preotiuc-Pietro, Sharath Chandra Guntuku, Lyle H. Ungar
2017	—	`conf`	DLATK: Differential Language Analysis ToolKit. EMNLP (System Demonstrations) H. Andrew Schwartz, Salvatore Giorgi, Maarten Sap, Patrick Crutchley, Lyle H. Ungar, Johannes C. Eichstaedt
2017	J	`jnl`	Deriving Verb Predicates By Clustering Verbs with Arguments. CoRR João Sedoc, Derry Wijaya, Masoud Rouhizadeh, Andy Schwartz, Lyle H. Ungar
2017	J	`jnl`	Distilling the Wisdom of Crowds: Prediction Markets vs. Prediction Polls. Manag. Sci. Pavel Atanasov, Phillip Rescober, Eric Stone, Samuel A. Swift, Emile Servan-Schreiber, Philip Tetlock, Lyle H. Ungar, Barbara A. Mellers
2017	—	`conf`	Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions. IJCNLP(1) Daniel Rieman, Kokil Jaidka, H. Andrew Schwartz, Lyle H. Ungar
2017	J	`jnl`	Domain Aware Neural Dialog System. CoRR Sajal Choudhary, Prerna Srivastava, Lyle H. Ungar, João Sedoc
2017	—	`conf`	EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks. ACL (1) Muhammad Abdul-Mageed, Lyle H. Ungar
2017	J	`jnl`	Enterprise to Computer: Star Trek chatbot. CoRR Grishma Jena, Mansi Vashisht, Abheek Basu, Lyle H. Ungar, João Sedoc
2017	J	`jnl`	Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach. CoRR Vivek Kulkarni, Margaret L. Kern, David Stillwell, Michal Kosinski, Sandra Matz, Lyle H. Ungar, Steven Skiena, H. Andrew Schwartz
2017	—	`conf`	On the Distribution of Lexical Features at Multiple Levels of Analysis. ACL (2) Fatemeh Almodaresi, Lyle H. Ungar, Vivek Kulkarni, Mohsen Zakeri, Salvatore Giorgi, H. Andrew Schwartz
2017	—	`conf`	Personality Driven Differences in Paraphrase Preference. NLP+CSS@ACL Daniel Preotiuc-Pietro, Jordan Carpenter, Lyle H. Ungar
2017	—	`conf`	Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering. EACL (2) João Sedoc, Daniel Preotiuc-Pietro, Lyle H. Ungar
2017	A*	`conf`	Proper Proxy Scoring Rules. AAAI Jens Witkowski, Pavel Atanasov, Lyle H. Ungar, Andreas Krause
2017	—	`conf`	Recognizing Counterfactual Thinking in Social Media Texts. ACL (2) Youngseo Son, Anneke Buffone, Joe Raso, Allegra Larche, Anthony Janocko, Kevin Zembroski, H. Andrew Schwartz, Lyle H. Ungar
2017	A	`conf`	Recognizing Pathogenic Empathy in Social Media. ICWSM Muhammad Abdul-Mageed, Anneke Buffone, Hao Peng, Johannes C. Eichstaedt, Lyle H. Ungar
2017	—	`conf`	Semantic Word Clusters Using Signed Spectral Clustering. ACL (1) João Sedoc, Jean Gallier, Dean P. Foster, Lyle H. Ungar
2017	—	`conf`	Studying Personality through the Content of Posted and Liked Images on Twitter. WebSci Sharath Chandra Guntuku, Weisi Lin, Jordan Carpenter, Wee Keong Ng, Lyle H. Ungar, Daniel Preotiuc-Pietro
2017	J	`jnl`	Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees. CoRR José-Marcio Luna, Eric Eaton, Lyle H. Ungar, Eric S. Diffenderfer, Shane T. Jensen, Efstathios D. Gennatas, Mateo Wirth, Charles B. Simone II, Timothy D. Solberg, Gilmer Valdes
2016	—	`ed.`	2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016 IEEE BigData James Joshi, George Karypis, Ling Liu, Xiaohua Hu, Ronay Ak, Yinglong Xia, Weijia Xu, Aki-Hiro Sato, Sudarsan Rachuri, Lyle H. Ungar, Philip S. Yu, Rama Govindaraju, Toyotaro Suzumura
2016	B	`conf`	An Empirical Exploration of Moral Foundations Theory in Partisan News Sources. LREC Dean Fulgoni, Jordan Carpenter, Lyle H. Ungar, Daniel Preotiuc-Pietro
2016	—	`conf`	Analyzing Biases in Human Perception of User Age and Gender from Text. ACL (1) Lucie Flekova, Jordan Carpenter, Salvatore Giorgi, Lyle H. Ungar, Daniel Preotiuc-Pietro
2016	A	`conf`	Analyzing Personality through Social Media Profile Picture Choice. ICWSM Leqi Liu, Daniel Preotiuc-Pietro, Zahra Riahi Samani, Mohsen Ebrahimi Moghaddam, Lyle H. Ungar
2016	J	`jnl`	DASHR: database of small human noncoding RNAs. Nucleic Acids Res. Yuk Yee Leung, Pavel P. Kuksa, Alexandre Amlie-Wolf, Otto Valladares, Lyle H. Ungar, Sampath Kannan, Brian D. Gregory, Li-San Wang
2016	A*	`conf`	Discovering User Attribute Stylistic Differences via Paraphrasing. AAAI Daniel Preotiuc-Pietro, Wei Xu, Lyle H. Ungar
2016	A*	`conf`	Does 'well-being' translate on Twitter? EMNLP Laura Smith, Salvatore Giorgi, Rishi Solanki, Johannes C. Eichstaedt, H. Andrew Schwartz, Muhammad Abdul-Mageed, Anneke Buffone, Lyle H. Ungar
2016	—	`conf`	Exploring Stylistic Variation with Age and Income on Twitter. ACL (2) Lucie Flekova, Daniel Preotiuc-Pietro, Lyle H. Ungar
2016	—	`conf`	Modelling Valence and Arousal in Facebook posts. WASSA@NAACL-HLT Daniel Preotiuc-Pietro, H. Andrew Schwartz, Gregory J. Park, Johannes C. Eichstaedt, Margaret L. Kern, Lyle H. Ungar, Elisabeth Shulman
2016	Misc	`conf`	Predicting Individual Well-Being Through the Language of Social Media. PSB H. Andrew Schwartz, Maarten Sap, Margaret L. Kern, Johannes C. Eichstaedt, Adam Kapelner, Megha Agrawal, Eduardo Blanco, Lukasz Dziurzynski, Gregory J. Park, David Stillwell, Michal Kosinski, Martin E. P. Seligman, Lyle H. Ungar
2016	—	`ed.`	Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych@NAACL-HLT 2016, June 16, 2016, San Diego, California, USA CLPsych@NAACL-HLT Kristy Hollingshead, Lyle H. Ungar
2016	J	`jnl`	Product Information Websites: Are They Good for Consumers? J. Manag. Inf. Syst. Panos M. Markopoulos, Ravi Aron, Lyle H. Ungar
2016	J	`jnl`	Semantic Word Clusters Using Signed Normalized Graph Cuts. CoRR João Sedoc, Jean Gallier, Lyle H. Ungar, Dean P. Foster
2016	A	`conf`	Studying the Dark Triad of Personality through Twitter Behavior. CIKM Daniel Preotiuc-Pietro, Jordan Carpenter, Salvatore Giorgi, Lyle H. Ungar
2016	A*	`conf`	Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference. EMNLP Masoud Rouhizadeh, Lyle H. Ungar, Anneke Buffone, H. Andrew Schwartz
2015	—	`conf`	Crowdsourcing for NLP. HLT-NAACL Chris Callison-Burch, Lyle H. Ungar, Ellie Pavlick
2015	J	`jnl`	Eigenwords: spectral word embeddings. J. Mach. Learn. Res. Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
2015	—	`conf`	Extracting Human Temporal Orientation from Facebook Language. HLT-NAACL H. Andrew Schwartz, Gregory J. Park, Maarten Sap, Evan Weingarten, Johannes C. Eichstaedt, Margaret L. Kern, David Stillwell, Michal Kosinski, Jonah Berger, Martin E. P. Seligman, Lyle H. Ungar
2015	—	`conf`	Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task. CLPsych@HLT-NAACL Daniel Preotiuc-Pietro, Maarten Sap, H. Andrew Schwartz, Lyle H. Ungar
2015	—	`conf`	The role of personality, age, and gender in tweeting about mental illness. CLPsych@HLT-NAACL Daniel Preotiuc-Pietro, Johannes C. Eichstaedt, Gregory J. Park, Maarten Sap, Laura Smith, Victoria Tobolsky, H. Andrew Schwartz, Lyle H. Ungar
2014	—	`conf`	Analyzing Product Comparisons on Discussion Boards. Language, Culture, Computation (1) Ronen Feldman, Moshe Fresko, Jacob Goldenberg, Oded Netzer, Lyle H. Ungar
2014	J	`jnl`	Classification of individual articles from all of science by research level. J. Informetrics Kevin W. Boyack, Michael Patek, Lyle H. Ungar, Patrick Yoon, Richard Klavans
2014	A*	`conf`	Developing Age and Gender Predictive Lexica over Social Media. EMNLP Maarten Sap, Gregory J. Park, Johannes C. Eichstaedt, Margaret L. Kern, David Stillwell, Michal Kosinski, Lyle H. Ungar, H. Andrew Schwartz
2014	J	`jnl`	Spectral learning of latent-variable PCFGs: algorithms and sample complexity. J. Mach. Learn. Res. Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar
2014	J	`jnl`	Subject-specific functional parcellation via Prior Based Eigenanatomy. NeuroImage Paramveer S. Dhillon, David A. Wolk, Sandhitsu R. Das, Lyle H. Ungar, James C. Gee, Brian B. Avants
2014	—	`conf`	Towards Assessing Changes in Degree of Depression through Facebook. CLPsych@ACL H. Andrew Schwartz, Johannes C. Eichstaedt, Margaret L. Kern, Gregory J. Park, Maarten Sap, David Stillwell, Michal Kosinski, Lyle H. Ungar
2014	J	`jnl`	Two Reasons to Make Aggregated Probability Forecasts More Extreme. Decis. Anal. Jonathan Baron, Barbara A. Mellers, Philip E. Tetlock, Eric Stone, Lyle H. Ungar
2013	J	`jnl`	A risk comparison of ordinary least squares vs ridge regression. J. Mach. Learn. Res. Paramveer S. Dhillon, Dean P. Foster, Sham M. Kakade, Lyle H. Ungar
2013	—	`conf`	Anatomically-Constrained PCA for Image Parcellation. PRNI Paramveer S. Dhillon, James C. Gee, Lyle H. Ungar, Brian B. Avants
2013	A	`conf`	Characterizing Geographic Variation in Well-Being Using Tweets. ICWSM H. Andrew Schwartz, Johannes C. Eichstaedt, Margaret L. Kern, Lukasz Dziurzynski, Richard E. Lucas, Megha Agrawal, Gregory J. Park, Shrinidhi K. Lakshmikanth, Sneha Jha, Martin E. P. Seligman, Lyle H. Ungar
2013	—	`conf`	Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach. *SEM@NAACL-HLT H. Andrew Schwartz, Johannes C. Eichstaedt, Eduardo Blanco, Lukasz Dziurzynski, Margaret L. Kern, Stephanie Ramones, Martin E. P. Seligman, Lyle H. Ungar
2013	—	`conf`	Experiments with Spectral Learning of Latent-Variable PCFGs. HLT-NAACL Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar
2013	—	`conf`	Faster Ridge Regression via the Subsampled Randomized Hadamard Transform. NIPS Yichao Lu, Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
2013	C	`conf`	How do Infomediaries affect firms' information strategies, and how do they impact buyer and social welfare? ICIS Panos M. Markopoulos, Ravi Aron, Lyle H. Ungar
2013	J	`jnl`	Lessons Learned About Public Health from Online Crowd Surveillance. Big Data Shawndra Hill, Raina M. Merchant, Lyle H. Ungar
2013	—	`conf`	New Subsampling Algorithms for Fast Least Squares Regression. NIPS Paramveer S. Dhillon, Yichao Lu, Dean P. Foster, Lyle H. Ungar
2013	J	`jnl`	Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments CoRR Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence
2013	—	`conf`	Spectral Learning Algorithms for Natural Language Processing. HLT-NAACL Shay B. Cohen, Michael Collins, Dean P. Foster, Karl Stratos, Lyle H. Ungar
2013	—	`conf`	The Marketcast Method for Aggregating Prediction Market Forecasts. SBP Pavel Atanasov, Phillip Rescober, Eric Stone, Emile Servan-Schreiber, Barbara A. Mellers, Philip Tetlock, Lyle H. Ungar
2013	—	`conf`	Toward Personality Insights from Language Exploration in Social Media. AAAI Spring Symposium: Analyzing Microtext H. Andrew Schwartz, Johannes C. Eichstaedt, Lukasz Dziurzynski, Margaret L. Kern, Eduardo Blanco, Michal Kosinski, David Stillwell, Martin E. P. Seligman, Lyle H. Ungar
2013	—	`conf`	Using Regression for Spectral Estimation of HMMs. SLSP Jordan Rodu, Dean P. Foster, Weichen Wu, Lyle H. Ungar
2012	J	`jnl`	Extracting templates from radiology reports using sequence alignment. Int. J. Data Min. Bioinform. Shengyang Wu, Curtis P. Langlotz, Paras Lakhani, Lyle H. Ungar
2012	B	`conf`	Improving Supervised Sense Disambiguation with Web-Scale Selectors. COLING Hansen Andrew Schwartz, Fernando Gomez, Lyle H. Ungar
2012	—	`conf`	New Insights from Coarse Word Sense Disambiguation in the Crowd. COLING (Posters) Adam Kapelner, Krishna Kaliannan, Hansen Andrew Schwartz, Lyle H. Ungar, Dean P. Foster
2012	—	`conf`	Partial sparse canonical correlation analysis (PSCCA) for population studies in medical imaging. ISBI Paramveer S. Dhillon, Brian B. Avants, Lyle H. Ungar, James C. Gee
2012	—	`conf`	Penn: Using Word Similarities to better Estimate Sentence Similarity. SemEval@NAACL-HLT Sneha Jha, Hansen Andrew Schwartz, Lyle H. Ungar
2012	—	`conf`	Spectral Dependency Parsing with Latent Variables. EMNLP-CoNLL Paramveer S. Dhillon, Jordan Rodu, Michael Collins, Dean P. Foster, Lyle H. Ungar
2012	—	`conf`	Spectral Learning of Latent-Variable PCFGs. ACL (1) Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar
2012	J	`jnl`	Spectral dimensionality reduction for HMMs CoRR Dean P. Foster, Jordan Rodu, Lyle H. Ungar
2012	—	`conf`	The Good Judgment Project: A Large Scale Test of Different Methods of Combining Expert Predictions. AAAI Fall Symposium: Machine Aggregation of Human Judgment Lyle H. Ungar, Barbara A. Mellers, Ville Satopää, Philip Tetlock, Jon Baron
2012	A*	`conf`	Using CCA to improve CCA: A new spectral method for estimating vector models of words. ICML Paramveer S. Dhillon, Jordan Rodu, Dean P. Foster, Lyle H. Ungar
2012	J	`jnl`	medpie: an information extraction package for medical message board posts. Bioinform. Adrian Benton, John H. Holmes, Shawndra Hill, Annie Chung, Lyle H. Ungar
2011	J	`jnl`	A system for de-identifying medical message board text. BMC Bioinform. Adrian Benton, Shawndra Hill, Lyle H. Ungar, Annie Chung, Charles E. Leonard, Cristin Freeman, John H. Holmes
2011	J	`jnl`	Identifying potential adverse effects using the web: A new approach to medical hypothesis generation. J. Biomed. Informatics Adrian Benton, Lyle H. Ungar, Shawndra Hill, Sean Hennessy, Jun Mao, Annie Chung, Charles E. Leonard, John H. Holmes
2011	J	`jnl`	Minimum Description Length Penalization for Group and Multi-Task Sparse Learning. J. Mach. Learn. Res. Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
2011	—	`conf`	Multi-View Learning of Word Embeddings via CCA. NIPS Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
2010	A*	`conf`	A New Approach to Lexical Disambiguation of Arabic Text. EMNLP Rushin Shah, Paramveer S. Dhillon, Mark Y. Liberman, Dean P. Foster, Mohamed Maamouri, Lyle H. Ungar
2010	C	`conf`	A System for De-identifying Medical Message Board Text. ICMLA Adrian Benton, Shawndra Hill, Lyle H. Ungar, Annie Chung, Charles E. Leonard, Cristin Freeman, John H. Holmes
2010	J	`jnl`	Analyzing knowledge communities using foreground and background clusters. ACM Trans. Knowl. Discov. Data Vasileios Kandylas, S. Phineas Upham, Lyle H. Ungar
2010	J	`jnl`	Dementia induces correlated reductions in white matter integrity and cortical thickness: A multivariate neuroimaging study with sparse canonical correlation analysis. NeuroImage Brian B. Avants, Philip A. Cook, Lyle H. Ungar, James C. Gee, Murray Grossman
2010	A*	`conf`	Discovery of significant emerging trends. KDD Saurabh Goorha, Lyle H. Ungar
2010	A	`conf`	Feature Selection using Multiple Streams. AISTATS Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
2010	J	`jnl`	Information markets for product attributes: A game theoretic, dual pricing mechanism. Decis. Support Syst. Panos M. Markopoulos, Ravi Aron, Lyle H. Ungar
2010	J	`jnl`	Innovating knowledge communities - An analysis of group collaboration and competition in science and technology. Scientometrics S. Phineas Upham, Lori Rosenkopf, Lyle H. Ungar
2010	J	`jnl`	Positioning knowledge: schools of thought and new knowledge creation. Scientometrics S. Phineas Upham, Lori Rosenkopf, Lyle H. Ungar
2009	J	`jnl`	A predictive model for identifying mini-regulatory modules in the mouse genome. Bioinform. Mahesh Yaragatti, Ted Sandler, Lyle H. Ungar
2009	—	`conf`	An Approach to Web-Scale Named-Entity Disambiguation. MLDM Luís Sarmento, Alexander Kehlenbeck, Eugénio C. Oliveira, Lyle H. Ungar
2009	—	`conf`	Efficient Clustering of Web-Derived Data Sets. MLDM Luís Sarmento, Alexander Kehlenbeck, Eugénio C. Oliveira, Lyle H. Ungar
2009	—	`conf`	Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC). ECML/PKDD (1) Paramveer S. Dhillon, Brian Tomasik, Dean P. Foster, Lyle H. Ungar
2009	A*	`conf`	Resolving Identity Uncertainty with Learned Random Walks. ICDM Ted Sandler, Lyle H. Ungar, Koby Crammer
2009	J	`jnl`	Transfer Learning Using Feature Selection CoRR Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
2009	—	`conf`	Transfer Learning, Feature Selection and Word Sense Disambiguation. ACL/IJCNLP (2) Paramveer S. Dhillon, Lyle H. Ungar
2008	J	`jnl`	A model of market power and efficiency in private electronic exchanges. Eur. J. Oper. Res. Ravi Aron, Lyle H. Ungar, Annapurna Valluri
2008	A*	`conf`	Efficient Feature Selection in the Presence of Multiple Feature Classes. ICDM Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
2008	J	`jnl`	Finding cohesive clusters for analyzing knowledge communities. Knowl. Inf. Syst. Vasileios Kandylas, S. Phineas Upham, Lyle H. Ungar
2008	—	`conf`	Multiway Clustering for Creating Biomedical Term Sets. BIBM Vasileios Kandylas, Lyle H. Ungar, Ted Sandler, Shane T. Jensen
2008	—	`conf`	Protein-Protein Interaction Network Alignment by Quantitative Simulation. BIBM Perry Evans, Ted Sandler, Lyle H. Ungar
2008	—	`conf`	Regularized Learning with Networks of Features. NIPS Ted Sandler, John Blitzer, Partha Pratim Talukdar, Lyle H. Ungar
2008	A	`conf`	Using sequence classification for filtering web pages. CIKM Binyamin Rosenfeld, Ronen Feldman, Lyle H. Ungar
2008	A	`conf`	Web-scale named entity recognition. CIKM Casey Whitelaw, Alexander Kehlenbeck, Nemanja Petrovic, Lyle H. Ungar
2007	J	`jnl`	Active learning for logistic regression: an evaluation. Mach. Learn. Andrew I. Schein, Lyle H. Ungar
2007	A*	`conf`	Extracting Product Comparisons from Discussion Boards. ICDM Ronen Feldman, Moshe Fresko, Jacob Goldenberg, Oded Netzer, Lyle H. Ungar
2007	A*	`conf`	Finding Cohesive Clusters for Analyzing Knowledge Communities. ICDM Vasileios Kandylas, S. Phineas Upham, Lyle H. Ungar
2006	—	`conf`	An Empirical Study of the Behavior of Active Learning for Word Sense Disambiguation. HLT-NAACL Jinying Chen, Andrew I. Schein, Lyle H. Ungar, Martha Palmer
2006	J	`jnl`	Automatic term list generation for entity tagging. Bioinform. Ted Sandler, Andrew I. Schein, Lyle H. Ungar
2006	A*	`ed.`	Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006 KDD Tina Eliassi-Rad, Lyle H. Ungar, Mark Craven, Dimitrios Gunopulos
2006	J	`jnl`	Streamwise Feature Selection. J. Mach. Learn. Res. Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar
2005	J	`jnl`	CROC: A New Evaluation Criterion for Recommender Systems. Electron. Commer. Res. Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock
2005	C	`conf`	Is Online Product Information Availability Driven by Quality or Differentiation? ICIS Panos M. Markopoulos, Ravi Aron, Lyle H. Ungar
2005	J	`jnl`	Iterative Combinatorial Auctions with Bidder-Determined Combinations. Manag. Sci. Roy H. Kwon, G. Anandalingam, Lyle H. Ungar
2005	A	`conf`	Streaming Feature Selection using IIC. AISTATS Lyle H. Ungar, Jing Zhou, Dean P. Foster, Bob A. Stine
2005	A*	`conf`	Streaming feature selection using alpha-investing. KDD Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar
2004	A*	`conf`	Cluster-based concept invention for statistical relational learning. KDD Alexandrin Popescul, Lyle H. Ungar
2004	J	`jnl`	The CRASSS plug-in for integrating annotation data with hierarchical clustering results. Bioinform. Eugen C. Buehler, Jeffrey R. Sachs, Kui Shao, Ansuman Bagchi, Lyle H. Ungar
2004	J	`jnl`	Using prior knowledge to improve genetic network reconstruction from microarray data. Silico Biol. Phillip P. Le, Amit Bahl, Lyle H. Ungar
2003	A	`conf`	A Generalized Linear Model for Principal Component Analysis of Binary Data. AISTATS Andrew I. Schein, Lawrence K. Saul, Lyle H. Ungar
2003	C	`conf`	Dual Pricing in Electronic Markets. ICIS Panos M. Markopoulos, Ravi Aron, Lyle H. Ungar
2003	A*	`conf`	Mixtures of Conditional Maximum Entropy Models. ICML Dmitry Pavlov, Alexandrin Popescul, David M. Pennock, Lyle H. Ungar
2003	A*	`conf`	Static and Dynamic Analysis of the Internet's Susceptibility to Faults and Attacks. INFOCOM Seung-Taek Park, Alexy Khrabrov, David M. Pennock, Steve Lawrence, C. Lee Giles, Lyle H. Ungar
2003	A*	`conf`	Statistical Relational Learning for Document Mining. ICDM Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock
2003	A	`conf`	Using policy gradient reinforcement learning on autonomous robot controllers. IROS Gregory Z. Grudic, Vijay Kumar, Lyle H. Ungar
2002	A*	`conf`	Methods and metrics for cold-start recommendations. SIGIR Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock
2001	—	`conf`	An auction-based method for decentralized train scheduling. Agents David C. Parkes, Lyle H. Ungar
2001	A*	`conf`	Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning. IJCAI Gregory Z. Grudic, Lyle H. Ungar
2001	—	`conf`	Maximum entropy methods for biological sequence modeling. BIOKDD Eugen C. Buehler, Lyle H. Ungar
2001	A*	`conf`	Pricing price information in e-commerce. EC Panos M. Markopoulos, Lyle H. Ungar
2001	A	`conf`	Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments. UAI Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence
2001	—	`conf`	Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning. NIPS Gregory Z. Grudic, Lyle H. Ungar
2000	—	`conf`	Clustering and Identifying Temporal Trends in Document Databases. ADL Alexandrin Popescul, Gary William Flake, Steve Lawrence, Lyle H. Ungar, C. Lee Giles
2000	A*	`conf`	Efficient clustering of high-dimensional data sets with application to reference matching. KDD Andrew McCallum, Kamal Nigam, Lyle H. Ungar
2000	—	`conf`	Iterative Combinatorial Auctions: Theory and Practice. AAAI/IAAI David C. Parkes, Lyle H. Ungar
2000	A*	`conf`	Localizing Policy Gradient Estimates to Action Transition. ICML Gregory Z. Grudic, Lyle H. Ungar
2000	—	`conf`	Localizing Search in Reinforcement Learning. AAAI/IAAI Gregory Z. Grudic, Lyle H. Ungar
2000	—	`conf`	Preventing Strategic Manipulation in Iterative Auctions: Proxy Agents and Price-Adjustment. AAAI/IAAI David C. Parkes, Lyle H. Ungar
1998	—	`conf`	Accounting for Cognitive Costs in On-Line Auction Design. AMET David C. Parkes, Lyle H. Ungar, Dean P. Foster
1997	J	`jnl`	A non-parametric Monte Carlo technique for controller verification. Autom. Evangelia Gazi, Warren D. Seider, Lyle H. Ungar
1997	A*	`conf`	Characterizing the generalization performance of model selection strategies. ICML Dale Schuurmans, Lyle H. Ungar, Dean P. Foster
1996	J	`jnl`	Active Learning for Vision-Based Robot Grasping. Mach. Learn. Marcos Salganicoff, Lyle H. Ungar, Ruzena Bajcsy
1995	A*	`conf`	Active Exploration and Learning in real-Valued Spaces using Multi-Armed Bandit Allocation Indices. ICML Marcos Salganicoff, Lyle H. Ungar
1995	J	`jnl`	Dynamic process monitoring and fault diagnosis with qualitative models. IEEE Trans. Syst. Man Cybern. Jonathan M. Vinson, Lyle H. Ungar
1994	J	`jnl`	SVD-NET: an algorithm that automatically selects network structure. IEEE Trans. Neural Networks Dimitris C. Psichogios, Lyle H. Ungar
1992	J	`jnl`	Automatic Rebuilding of Qualitative Models for Diagnosis. IEEE Expert Jonathan M. Vinson, Stephen D. Grantham, Lyle H. Ungar
1992	J	`jnl`	Using radial basis functions to approximate a function and its error bounds. IEEE Trans. Neural Networks James A. Leonard, Mark A. Kramer, Lyle H. Ungar
1988	J	`jnl`	Finite element methods for unsteady solidification problems arising in prediction of morphological structure. J. Sci. Comput. Lyle H. Ungar, N. Ramprasad, R. A. Brown