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ORCIDLyle H. Ungar
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- affiliation: University of Pennsylvania, Computer and Information Science Department
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2020 – today
- 2024
[c151]Salvatore Giorgi, Tingting Liu, Ankit Aich, Kelsey Isman, Garrick Sherman, Zachary Fried, João Sedoc, Lyle H. Ungar, Brenda Curtis:
Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personas. EMNLP (Findings) 2024: 7174-7188- [c150]Tony Liu, Lyle H. Ungar, Konrad P. Kording, Morgan McGuire:
Measuring Causal Effects of Civil Communication without Randomization. ICWSM 2024: 958-971 - [c149]Shreya Havaldar, Salvatore Giorgi, Sunny Rai, Thomas Talhelm, Sharath Chandra Guntuku, Lyle H. Ungar:
Building Knowledge-Guided Lexica to Model Cultural Variation. NAACL-HLT 2024: 211-226 - [i55]Young-Min Cho, Dandan Pang, Stuti Thapa, Garrick Sherman, Lyle H. Ungar, Louis Tay, Sharath Chandra Guntuku:
Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination. CoRR abs/2401.05254 (2024) - [i54]Sunny Rai, Khushang Jilesh Zaveri, Shreya Havaldar, Soumna Nema, Lyle H. Ungar, Sharath Chandra Guntuku:
A Cross-Cultural Analysis of Social Norms in Bollywood and Hollywood Movies. CoRR abs/2402.11333 (2024) - [i53]Aadesh Salecha, Molly E. Ireland, Shashanka Subrahmanya, João Sedoc, Lyle H. Ungar, Johannes C. Eichstaedt:
Large Language Models Show Human-like Social Desirability Biases in Survey Responses. CoRR abs/2405.06058 (2024) - [i52]Jordan K. Matelsky, Lyle H. Ungar, Konrad P. Kording:
Empirical influence functions to understand the logic of fine-tuning. CoRR abs/2406.00509 (2024) - [i51]Shreya Havaldar, Salvatore Giorgi, Sunny Rai, Thomas Talhelm, Sharath Chandra Guntuku, Lyle H. Ungar:
Building Knowledge-Guided Lexica to Model Cultural Variation. CoRR abs/2406.11622 (2024) - [i50]Ankit Aich, Tingting Liu, Salvatore Giorgi, Kelsey Isman, Lyle H. Ungar, Brenda Curtis:
Vernacular? I Barely Know Her: Challenges with Style Control and Stereotyping. CoRR abs/2406.12679 (2024) - [i49]Salvatore Giorgi, Tingting Liu, Ankit Aich, Kelsey Isman, Garrick Sherman, Zachary Fried, João Sedoc, Lyle H. Ungar, Brenda Curtis:
Explicit and Implicit Large Language Model Personas Generate Opinions but Fail to Replicate Deeper Perceptions and Biases. CoRR abs/2406.14462 (2024) - [i48]Xiaoyu Lin, Xinkai Yu, Ankit Aich, Salvatore Giorgi, Lyle H. Ungar:
DiverseDialogue: A Methodology for Designing Chatbots with Human-Like Diversity. CoRR abs/2409.00262 (2024) - [i47]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:
The FIX Benchmark: Extracting Features Interpretable to eXperts. CoRR abs/2409.13684 (2024) - [i46]Tingting Liu, Salvatore Giorgi, Ankit Aich, Allison Lahnala, Brenda Curtis, Lyle H. Ungar, João Sedoc:
The Illusion of Empathy: How AI Chatbots Shape Conversation Perception. CoRR abs/2411.12877 (2024) - [i45]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:
PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health. CoRR abs/2412.16882 (2024) - 2023
- [j53]Harsh Shah, Kokil Jaidka
, Lyle H. Ungar, Jesse Fagan, Travis J. Grosser:
Building a Multimodal Classifier of Email Behavior: Towards a Social Network Understanding of Organizational Communication. Inf. 14(12): 661 (2023) - [j52]Emily J. Getzen, Lyle H. Ungar, Danielle L. Mowery, Xiaoqian Jiang, Qi Long:
Mining for equitable health: Assessing the impact of missing data in electronic health records. J. Biomed. Informatics 139: 104269 (2023) - [j51]Matthew Matero, Salvatore Giorgi, Brenda Curtis, Lyle H. Ungar, H. Andrew Schwartz:
Opioid death projections with AI-based forecasts using social media language. npj Digit. Medicine 6 (2023) - [j50]Matthew Matero, Salvatore Giorgi, Brenda Curtis, Lyle H. Ungar, H. Andrew Schwartz:
Author Correction: Opioid death projections with AI-based forecasts using social media language. npj Digit. Medicine 6 (2023) - [j49]Tony Liu, Patrick N. Lawlor, Lyle H. Ungar, Konrad P. Kording, Rahul Ladhania:
Automated Detection of Causal Inference Opportunities: Regression Discontinuity Subgroup Discovery. Trans. Mach. Learn. Res. 2023 (2023) - [c148]Maria Leonor Pacheco, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser:
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. ACL (Findings) 2023: 5059-5080 - [c147]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 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:
Prospective Learning: Principled Extrapolation to the Future. CoLLAs 2023: 347-357 - [c146]Shirley Anugrah Hayati, Kyumin Park, Dheeraj Rajagopal, Lyle H. Ungar, Dongyeop Kang:
StyLEx: Explaining Style Using Human Lexical Annotations. EACL 2023: 2835-2848 - [c145]Shreya Havaldar, Matthew Pressimone, Eric Wong, Lyle H. Ungar:
Comparing Styles across Languages. EMNLP 2023: 6775-6791 - [c144]Yifei Li, Lyle H. Ungar, João Sedoc:
Conceptor-Aided Debiasing of Large Language Models. EMNLP 2023: 10703-10727 - [c143]Young Min Cho, Sunny Rai, Lyle H. Ungar, João Sedoc, Sharath Chandra Guntuku:
An "Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives". EMNLP 2023: 11346-11369 - [c142]Renyi Qu, Lyle H. Ungar, João Sedoc:
Conditioning on Dialog Acts improves Empathy Style Transfer. EMNLP (Findings) 2023: 13254-13271 - [c141]Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar:
TopEx: Topic-based Explanations for Model Comparison. Tiny Papers @ ICLR 2023 - [c140]Tingting Liu, Salvatore Giorgi, Xiangyu Tao, Sharath Chandra Guntuku, Douglas Bellew, Brenda Curtis, Lyle H. Ungar:
Different Affordances on Facebook and SMS Text Messaging Do Not Impede Generalization of Language-Based Predictive Models. ICWSM 2023: 1153-1157 - [c139]Shreya Havaldar, Bhumika Singhal, Sunny Rai, Langchen Liu, Sharath Chandra Guntuku, Lyle H. Ungar:
Multilingual Language Models are not Multicultural: A Case Study in Emotion. WASSA@ACL 2023: 202-214 - [c138]Tingting Liu, Devansh Jain, Shivani R. Rapole, Brenda Curtis, Johannes C. Eichstaedt, Lyle H. Ungar, Sharath Chandra Guntuku:
Detecting Symptoms of Depression on Reddit. WebSci 2023: 174-183 - [i44]Maria Leonor Pacheco, Tunazzina Islam, Lyle H. Ungar, Ming Yin, Dan Goldwasser:
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections. CoRR abs/2305.05094 (2023) - [i43]Salvatore Giorgi, Shreya Havaldar, Farhan Ahmed, Zuhaib Akhtar, Shalaka Vaidya, Gary Pan, Lyle H. Ungar, H. Andrew Schwartz, João Sedoc:
Human-Centered Metrics for Dialog System Evaluation. CoRR abs/2305.14757 (2023) - [i42]Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar:
TopEx: Topic-based Explanations for Model Comparison. CoRR abs/2306.00976 (2023) - [i41]Shreya Havaldar, Sunny Rai, Bhumika Singhal, Langchen Liu, Sharath Chandra Guntuku, Lyle H. Ungar:
Multilingual Language Models are not Multicultural: A Case Study in Emotion. CoRR abs/2307.01370 (2023) - [i40]Sharath Chandra Guntuku, Thomas Talhelm, Garrick Sherman, Angel Fan, Salvatore Giorgi, Liuqing Wei, Lyle H. Ungar:
Historical patterns of rice farming explain modern-day language use in China and Japan more than modernization and urbanization. CoRR abs/2308.15352 (2023) - [i39]Shreya Havaldar, Matthew Pressimone, Eric Wong, Lyle H. Ungar:
Comparing Styles across Languages. CoRR abs/2310.07135 (2023) - [i38]Young Min Cho, Sunny Rai, Lyle H. Ungar, João Sedoc, Sharath Chandra Guntuku:
An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives. CoRR abs/2310.17017 (2023) - [i37]Rahul Ladhania, Jann Spiess, Lyle H. Ungar, Wenbo Wu:
Personalized Assignment to One of Many Treatment Arms via Regularized and Clustered Joint Assignment Forests. CoRR abs/2311.00577 (2023) - 2022
- [j48]Zachary N. Flamholz, Andrew Crane-Droesch, Lyle H. Ungar, Gary E. Weissman:
Word embeddings trained on published case reports are lightweight, effective for clinical tasks, and free of protected health information. J. Biomed. Informatics 125: 103971 (2022) - [c137]Ann-Katrin Reuel, Sebastian Peralta, João Sedoc, Garrick Sherman, Lyle H. Ungar:
Measuring the Language of Self-Disclosure across Corpora. ACL (Findings) 2022: 1035-1047 - [c136]Tony Liu, Patrick N. Lawlor, Lyle H. Ungar, Konrad P. Kording:
Data-driven exclusion criteria for instrumental variable studies. CLeaR 2022: 485-508 - [c135]Yilin Geng, Zetian Wu, Roshan Santhosh, Tejas Srivastava, Lyle H. Ungar, João Sedoc:
Inducing Generalizable and Interpretable Lexica. EMNLP (Findings) 2022: 4430-4448 - [c134]Jesse Cui, Tingdan Zhang, Kokil Jaidka, Dandan Pang, Garrick Sherman, Vinit Jakhetiya, Lyle H. Ungar, Sharath Chandra Guntuku:
Social Media Reveals Urban-Rural Differences in Stress across China. ICWSM 2022: 114-124 - [c133]Salvatore Giorgi, Veronica E. Lynn, Keshav Gupta, Farhan Ahmed, Sandra Matz, Lyle H. Ungar, H. Andrew Schwartz:
Correcting Sociodemographic Selection Biases for Population Prediction from Social Media. ICWSM 2022: 228-240 - [c132]Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle H. Ungar, Dan Goldwasser:
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. NAACL-HLT 2022: 5821-5839 - [i36]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 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:
Prospective Learning: Back to the Future. CoRR abs/2201.07372 (2022) - [i35]Tingting Liu, Salvatore Giorgi, Xiangyu Tao, Douglas Bellew, Brenda Curtis, Lyle H. Ungar:
Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis. CoRR abs/2202.01802 (2022) - [i34]Maria Leonor Pacheco, Tunazzina Islam, Monal Mahajan, Andrey Shor, Ming Yin, Lyle H. Ungar, Dan Goldwasser:
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate. CoRR abs/2205.01817 (2022) - [i33]Damilola Omitaomu, Shabnam Tafreshi, Tingting Liu, Sven Buechel, Chris Callison-Burch, Johannes C. Eichstaedt, Lyle H. Ungar, João Sedoc:
Empathic Conversations: A Multi-level Dataset of Contextualized Conversations. CoRR abs/2205.12698 (2022) - [i32]Shirley Anugrah Hayati, Kyumin Park, Dheeraj Rajagopal, Lyle H. Ungar, Dongyeop Kang:
StyLEx: Explaining Styles with Lexicon-Based Human Perception. CoRR abs/2210.07469 (2022) - [i31]Yifei Li, Lyle H. Ungar, João Sedoc:
Conceptor-Aided Debiasing of Contextualized Embeddings. CoRR abs/2211.11087 (2022) - 2021
- [j47]Kokil Jaidka, Sharath Chandra Guntuku, Jane H. Lee, Zhengyi Luo, Anneke Buffone, Lyle H. Ungar:
The rural-urban stress divide: Obtaining geographical insights through Twitter. Comput. Hum. Behav. 114: 106544 (2021) - [j46]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:
Development and validation of a prediction model for actionable aspects of frailty in the text of clinicians' encounter notes. J. Am. Medical Informatics Assoc. 29(1): 109-119 (2021) - [j45]Tony Liu, Lyle H. Ungar, Konrad P. Kording:
Quantifying causality in data science with quasi-experiments. Nat. Comput. Sci. 1(1): 24-32 (2021) - [j44]Sharath Chandra Guntuku, Elissa V. Klinger, Haley J. McCalpin, Lyle H. Ungar, David A. Asch, Raina M. Merchant:
Social media language of healthcare super-utilizers. npj Digit. Medicine 4 (2021) - [j43]Kokil Jaidka, Johannes C. Eichstaedt, Salvatore Giorgi, H. Andrew Schwartz, Lyle H. Ungar:
Information-seeking vs. sharing: Which explains regional health? An analysis of Google Search and Twitter trends. Telematics Informatics 59: 101540 (2021) - [c131]Salvatore Giorgi, Lyle H. Ungar, H. Andrew Schwartz:
Characterizing Social Spambots by their Human Traits. ACL/IJCNLP (Findings) 2021: 5148-5158 - [c130]Shirley Anugrah Hayati, Dongyeop Kang, Lyle H. Ungar:
Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica. EMNLP (1) 2021: 6323-6331 - [c129]Salvatore Giorgi, Sharath Chandra Guntuku, Johannes C. Eichstaedt, Claire Pajot, H. Andrew Schwartz, Lyle H. Ungar:
Well-Being Depends on Social Comparison: Hierarchical Models of Twitter Language Suggest That Richer Neighbors Make You Less Happy. ICWSM 2021: 1069-1074 - [c128]Kokil Jaidka, Andrea Ceolin, Iknoor Singh, Niyati Chhaya, Lyle H. Ungar:
WikiTalkEdit: A Dataset for modeling Editors' behaviors on Wikipedia. NAACL-HLT 2021: 2191-2200 - [e6]Niyati Chhaya, Kokil Jaidka, Jennifer Healey, Lyle H. Ungar, Atanu Sinha:
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. CEUR Workshop Proceedings 2897, CEUR-WS.org 2021 [contents] - [i30]Shirley Anugrah Hayati, Dongyeop Kang, Lyle H. Ungar:
Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica. CoRR abs/2109.02738 (2021) - [i29]Jesse Cui, Tingdan Zhang, Dandan Pang, Kokil Jaidka, Garrick Sherman, Vinit Jakhetiya, Lyle H. Ungar, Sharath Chandra Guntuku:
Social Media Reveals Urban-Rural Differences in Stress across China. CoRR abs/2110.15726 (2021) - 2020
- [j42]Mingyang Li, Louis Hickman, Louis Tay, Lyle H. Ungar, Sharath Chandra Guntuku:
Studying Politeness across Cultures using English Twitter and Mandarin Weibo. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 119:1-119:15 (2020) - [j41]Kokil Jaidka, Salvatore Giorgi, H. Andrew Schwartz, Margaret L. Kern, Lyle H. Ungar, Johannes C. Eichstaedt:
Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods. Proc. Natl. Acad. Sci. USA 117(19): 10165-10171 (2020) - [c127]Niyati Chhaya, Kokil Jaidka, Jennifer Healey, Lyle H. Ungar, Atanu R. Sinha:
Editorial for the 3rd Workshop on Affective Content Analysis (AffCon) at AAAI 2020. AffCon@AAAI 2020: 1-10 - [c126]Kokil Jaidka, Iknoor Singh, Jiahui Liu, Niyati Chhaya, Lyle H. Ungar:
A report of the CL-Aff OffMyChest Shared Task: Modeling Supportiveness and Disclosure. AffCon@AAAI 2020: 118-129 - [c125]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:
Identifying Actionable Aspects of Frailty in the Text of Encounter Notes. AMIA 2020 - [c124]Roshan Santosh, H. Andrew Schwartz, Johannes C. Eichstaedt, Lyle H. Ungar, Sharath Chandra Guntuku:
Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings. NLP4COVID@EMNLP 2020 - [c123]Huy Vu, Suhaib Abdurahman, Sudeep Bhatia, Lyle H. Ungar:
Predicting Responses to Psychological Questionnaires from Participants' Social Media Posts and Question Text Embeddings. EMNLP (Findings) 2020: 1512-1524 - [c122]Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim A. Elmadany, Lyle H. Ungar:
Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments. EMNLP (1) 2020: 5855-5876 - [c121]João Sedoc, Lyle H. Ungar:
Item Response Theory for Efficient Human Evaluation of Chatbots. Eval4NLP 2020: 21-33 - [c120]Kokil Jaidka, Niyati Chhaya, Saran Mumick, Matthew Killingsworth, Alon Y. Halevy, Lyle H. Ungar:
Beyond Positive Emotion: Deconstructing Happy Moments Based on Writing Prompts. ICWSM 2020: 294-302 - [c119]João Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle H. Ungar:
Learning Word Ratings for Empathy and Distress from Document-Level User Responses. LREC 2020: 1664-1673 - [c118]Pavel Atanasov, Jens Witkowski, Lyle H. Ungar, Barbara A. Mellers, Philip Tetlock:
Small Steps to Accuracy: Incremental Belief Updaters Are Better Forecasters. EC 2020: 873-874 - [e5]Niyati Chhaya, Kokil Jaidka, Jennifer Healey, Lyle H. Ungar, Atanu R. Sinha:
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. CEUR Workshop Proceedings 2614, CEUR-WS.org 2020 [contents] - [i28]Dillon Bowen, Lyle H. Ungar:
Generalized SHAP: Generating multiple types of explanations in machine learning. CoRR abs/2006.07155 (2020) - [i27]Mingyang Li, Louis Hickman, Louis Tay, Lyle H. Ungar, Sharath Chandra Guntuku:
Studying Politeness across Cultures Using English Twitter and Mandarin Weibo. CoRR abs/2008.02449 (2020) - [i26]Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim A. Elmadany, Lyle H. Ungar:
Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments. CoRR abs/2010.04900 (2020) - [i25]Roshan Santosh, H. Andrew Schwartz, Johannes C. Eichstaedt, Lyle H. Ungar, Sharath Chandra Guntuku:
Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings. CoRR abs/2011.03983 (2020)
2010 – 2019
- 2019
- [j40]Tony Liu, Jennifer Nicholas, Max-Marcel Theilig, Sharath Chandra Guntuku, Konrad P. Körding, David C. Mohr, Lyle H. Ungar:
Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(4): 145:1-145:23 (2019) - [j39]Gary E. Weissman, Lyle H. Ungar, Michael O. Harhay, Katherine R. Courtright, Scott D. Halpern:
Construct validity of six sentiment analysis methods in the text of encounter notes of patients with critical illness. J. Biomed. Informatics 89: 114-121 (2019) - [c117]Niyati Chhaya, Kokil Jaidka, Atanu R. Sinha, Lyle H. Ungar:
Editorial for the 2nd Workshop on Affective Content Analysis (AffCon) at AAAI 2019. AffCon@AAAI 2019: 1-11 - [c116]Kokil Jaidka, Saran Mumick, Niyati Chhaya, Lyle H. Ungar:
The CL-Aff Happiness Shared Task: Results and Key Insights. AffCon@AAAI 2019: 39-49 - [c115]Tianlin Liu, Lyle H. Ungar, João Sedoc:
Unsupervised Post-Processing of Word Vectors via Conceptor Negation. AAAI 2019: 6778-6785 - [c114]Sharath Chandra Guntuku, Anneke Buffone, Kokil Jaidka, Johannes C. Eichstaedt, Lyle H. Ungar:
Understanding and Measuring Psychological Stress Using Social Media. ICWSM 2019: 214-225 - [c113]Sharath Chandra Guntuku, Mingyang Li, Louis Tay, Lyle H. Ungar:
Studying Cultural Differences in Emoji Usage across the East and the West. ICWSM 2019: 226-235 - [c112]Sharath Chandra Guntuku, Daniel Preotiuc-Pietro, Johannes C. Eichstaedt, Lyle H. Ungar:
What Twitter Profile and Posted Images Reveal about Depression and Anxiety. ICWSM 2019: 236-246 - [c111]João Sedoc, Daphne Ippolito, Arun Kirubarajan, Jai Thirani, Lyle H. Ungar, Chris Callison-Burch:
ChatEval: A Tool for Chatbot Evaluation. NAACL-HLT (Demonstrations) 2019: 60-65 - [c110]Tianlin Liu, Lyle H. Ungar, João Sedoc:
Continual Learning for Sentence Representations Using Conceptors. NAACL-HLT (1) 2019: 3274-3279 - [c109]Mingyang Li, Sharath Chandra Guntuku, Vinit Jakhetiya, Lyle H. Ungar:
Exploring (Dis-)Similarities in Emoji-Emotion Association on Twitter and Weibo. WWW (Companion Volume) 2019: 461-467 - [e4]Niyati Chhaya, Kokil Jaidka, Atanu R. Sinha, Lyle H. Ungar:
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. CEUR Workshop Proceedings 2328, CEUR-WS.org 2019 [contents] - [i24]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:
Expert-Augmented Machine Learning. CoRR abs/1903.09731 (2019) - [i23]Sharath Chandra Guntuku, Daniel Preotiuc-Pietro, Johannes C. Eichstaedt, Lyle H. Ungar:
What Twitter Profile and Posted Images Reveal About Depression and Anxiety. CoRR abs/1904.02670 (2019) - [i22]Sharath Chandra Guntuku, Mingyang Li, Louis Tay, Lyle H. Ungar:
Studying Cultural Differences in Emoji Usage across the East and the West. CoRR abs/1904.02671 (2019) - [i21]Tianlin Liu, Lyle H. Ungar, João Sedoc:
Continual Learning for Sentence Representations Using Conceptors. CoRR abs/1904.09187 (2019) - [i20]Saket Karve, Lyle H. Ungar, João Sedoc:
Conceptor Debiasing of Word Representations Evaluated on WEAT. CoRR abs/1906.05993 (2019) - [i19]Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim A. Elmadany, Arun Rajendran, Lyle H. Ungar:
DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect. CoRR abs/1910.14243 (2019) - [i18]Muhammad Abdul-Mageed, Chiyu Zhang, Arun Rajendran, AbdelRahim A. Elmadany, Michael Przystupa, Lyle H. Ungar:
Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media. CoRR abs/1911.00637 (2019) - [i17]Salvatore Giorgi, Veronica E. Lynn, Sandra Matz, Lyle H. Ungar, H. Andrew Schwartz:
Correcting Sociodemographic Selection Biases for Accurate Population Prediction from Social Media. CoRR abs/1911.03855 (2019) - [i16]João Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle H. Ungar:
Learning Word Ratings for Empathy and Distress from Document-Level User Responses. CoRR abs/1912.01079 (2019) - 2018
- [c108]Niyati Chhaya, Kokil Jaidka, Lyle H. Ungar:
The AAAI-18 Workshop on Affective Content Analysis. AAAI Workshops 2018: 2-7 - [c107]Kokil Jaidka, Niyati Chhaya, Lyle H. Ungar:
Diachronic degradation of language models: Insights from social media. ACL (2) 2018: 195-200 - [c106]Sharath Chandra Guntuku, Salvatore Giorgi, Lyle H. Ungar:
Current and Future Psychological Health Prediction using Language and Socio-Demographics of Children for the CLPysch 2018 Shared Task. CLPsych@NAACL-HTL 2018: 98-106 - [c105]Hassan Alhuzali, Muhammad Abdul-Mageed, Lyle H. Ungar:
Enabling Deep Learning of Emotion With First-Person Seed Expressions. PEOPLES@NAACL-HTL 2018: 25-35 - [c104]Alex Morales, Nupoor Gandhi, Man-pui Sally Chan, Sophie Lohmann, Travis Sanchez, Kathleen A. Brady, Lyle H. Ungar, Dolores Albarracin, ChengXiang Zhai:
Multi-Attribute Topic Feature Construction for Social Media-based Prediction. IEEE BigData 2018: 1073-1078 - [c103]Hongzhi Xu, Mitchell Marcus, Charles Yang, Lyle H. Ungar:
Unsupervised Morphology Learning with Statistical Paradigms. COLING 2018: 44-54 - [c102]Daniel Preotiuc-Pietro, Lyle H. Ungar:
User-Level Race and Ethnicity Predictors from Twitter Text. COLING 2018: 1534-1545 - [c101]Masoud Rouhizadeh, Kokil Jaidka, Laura Smith, H. Andrew Schwartz, Anneke Buffone, Lyle H. Ungar:
Identifying Locus of Control in Social Media Language. EMNLP 2018: 1146-1152 - [c100]Salvatore Giorgi, Daniel Preotiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle H. Ungar, H. Andrew Schwartz:
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. EMNLP 2018: 1167-1172 - [c99]Sven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, João Sedoc:
Modeling Empathy and Distress in Reaction to News Stories. EMNLP 2018: 4758-4765 - [c98]Charles W. Kazer, João Sedoc, Kelvin K. W. Ng, Vincent Liu, Lyle H. Ungar:
Fast Network Simulation Through Approximation or: How Blind Men Can Describe Elephants. HotNets 2018: 141-147 - [c97]Kokil Jaidka, Sharath Chandra Guntuku, Lyle H. Ungar:
Facebook versus Twitter: Differences in Self-Disclosure and Trait Prediction. ICWSM 2018: 141-150 - [c96]Kokil Jaidka, Anneke Buffone, Johannes C. Eichstaedt, Masoud Rouhizadeh, Lyle H. Ungar:
Modeling and Visualizing Locus of Control with Facebook Language. ICWSM 2018: 616-619 - [i15]Salvatore Giorgi, Daniel Preotiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle H. Ungar, H. Andrew Schwartz:
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. CoRR abs/1808.09600 (2018) - [i14]Sven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, João Sedoc:
Modeling Empathy and Distress in Reaction to News Stories. CoRR abs/1808.10399 (2018) - [i13]Sven Buechel, João Sedoc, H. Andrew Schwartz, Lyle H. Ungar:
Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations. CoRR abs/1810.10949 (2018) - [i12]Sharath Chandra Guntuku, Anneke Buffone, Kokil Jaidka, Johannes C. Eichstaedt, Lyle H. Ungar:
Understanding and Measuring Psychological Stress using Social Media. CoRR abs/1811.07430 (2018) - [i11]Tianlin Liu, Lyle H. Ungar, João Sedoc:
Unsupervised Post-processing of Word Vectors via Conceptor Negation. CoRR abs/1811.11001 (2018) - [i10]Tianlin Liu, João Sedoc, Lyle H. Ungar:
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors. CoRR abs/1811.11002 (2018) - 2017
- [j38]Pavel Atanasov, Phillip Rescober, Eric Stone, Samuel A. Swift, Emile Servan-Schreiber, Philip Tetlock, Lyle H. Ungar, Barbara A. Mellers:
Distilling the Wisdom of Crowds: Prediction Markets vs. Prediction Polls. Manag. Sci. 63(3): 691-706 (2017) - [j37]Don A. Moore, Samuel A. Swift, Angela Minster, Barbara A. Mellers, Lyle H. Ungar, Philip Tetlock, Heather H. J. Yang, Elizabeth R. Tenney:
Confidence Calibration in a Multiyear Geopolitical Forecasting Competition. Manag. Sci. 63(11): 3552-3565 (2017) - [c95]Jens Witkowski, Pavel Atanasov, Lyle H. Ungar, Andreas Krause:
Proper Proxy Scoring Rules. AAAI 2017: 743-749 - [c94]Fatemeh Almodaresi, Lyle H. Ungar, Vivek Kulkarni, Mohsen Zakeri, Salvatore Giorgi, H. Andrew Schwartz:
On the Distribution of Lexical Features at Multiple Levels of Analysis. ACL (2) 2017: 79-84 - [c93]Youngseo Son, Anneke Buffone, Joe Raso, Allegra Larche, Anthony Janocko, Kevin Zembroski, H. Andrew Schwartz, Lyle H. Ungar:
Recognizing Counterfactual Thinking in Social Media Texts. ACL (2) 2017: 654-658 - [c92]Muhammad Abdul-Mageed, Lyle H. Ungar:
EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks. ACL (1) 2017: 718-728 - [c91]Daniel Preotiuc-Pietro, Ye Liu, Daniel Hopkins, Lyle H. Ungar:
Beyond Binary Labels: Political Ideology Prediction of Twitter Users. ACL (1) 2017: 729-740 - [c90]João Sedoc, Jean Gallier, Dean P. Foster, Lyle H. Ungar:
Semantic Word Clusters Using Signed Spectral Clustering. ACL (1) 2017: 939-949 - [c89]Daniel Preotiuc-Pietro, Jordan Carpenter, Lyle H. Ungar:
Personality Driven Differences in Paraphrase Preference. NLP+CSS@ACL 2017: 17-26 - [c88]João Sedoc, Daniel Preotiuc-Pietro, Lyle H. Ungar:
Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering. EACL (2) 2017: 564-571 - [c87]H. Andrew Schwartz, Salvatore Giorgi, Maarten Sap, Patrick Crutchley, Lyle H. Ungar, Johannes C. Eichstaedt:
DLATK: Differential Language Analysis ToolKit. EMNLP (System Demonstrations) 2017: 55-60 - [c86]Daniel Preotiuc-Pietro, Sharath Chandra Guntuku, Lyle H. Ungar:
Controlling Human Perception of Basic User Traits. EMNLP 2017: 2335-2341 - [c85]H. Andrew Schwartz, Masoud Rouhizadeh, Michael Bishop, Philip Tetlock, Barbara A. Mellers, Lyle H. Ungar:
Assessing Objective Recommendation Quality through Political Forecasting. EMNLP 2017: 2348-2357 - [c84]Muhammad Abdul-Mageed, Anneke Buffone, Hao Peng, Johannes C. Eichstaedt, Lyle H. Ungar:
Recognizing Pathogenic Empathy in Social Media. ICWSM 2017: 448-451 - [c83]Daniel Rieman, Kokil Jaidka, H. Andrew Schwartz, Lyle H. Ungar:
Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions. IJCNLP(1) 2017: 764-773 - [c82]Sharath Chandra Guntuku, Weisi Lin, Jordan Carpenter, Wee Keong Ng, Lyle H. Ungar, Daniel Preotiuc-Pietro:
Studying Personality through the Content of Posted and Liked Images on Twitter. WebSci 2017: 223-227 - [i9]Vivek Kulkarni, Margaret L. Kern, David Stillwell, Michal Kosinski, Sandra Matz, Lyle H. Ungar, Steven Skiena, H. Andrew Schwartz:
Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach. CoRR abs/1705.08038 (2017) - [i8]João Sedoc, Derry Wijaya, Masoud Rouhizadeh, Andy Schwartz, Lyle H. Ungar:
Deriving Verb Predicates By Clustering Verbs with Arguments. CoRR abs/1708.00416 (2017) - [i7]Grishma Jena, Mansi Vashisht, Abheek Basu, Lyle H. Ungar, João Sedoc:
Enterprise to Computer: Star Trek chatbot. CoRR abs/1708.00818 (2017) - [i6]Sajal Choudhary, Prerna Srivastava, Lyle H. Ungar, João Sedoc:
Domain Aware Neural Dialog System. CoRR abs/1708.00897 (2017) - [i5]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:
Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees. CoRR abs/1711.06793 (2017) - 2016
- [j36]Panos M. Markopoulos, Ravi Aron, Lyle H. Ungar:
Product Information Websites: Are They Good for Consumers? J. Manag. Inf. Syst. 33(3): 624-651 (2016) - [j35]Yuk Yee Leung, Pavel P. Kuksa, Alexandre Amlie-Wolf, Otto Valladares, Lyle H. Ungar, Sampath Kannan, Brian D. Gregory, Li-San Wang:
DASHR: database of small human noncoding RNAs. Nucleic Acids Res. 44(Database-Issue): 216-222 (2016) - [c81]Daniel Preotiuc-Pietro, Wei Xu, Lyle H. Ungar:
Discovering User Attribute Stylistic Differences via Paraphrasing. AAAI 2016: 3030-3037 - [c80]Lucie Flekova, Jordan Carpenter, Salvatore Giorgi, Lyle H. Ungar, Daniel Preotiuc-Pietro:
Analyzing Biases in Human Perception of User Age and Gender from Text. ACL (1) 2016 - [c79]Lucie Flekova, Daniel Preotiuc-Pietro, Lyle H. Ungar:
Exploring Stylistic Variation with Age and Income on Twitter. ACL (2) 2016 - [c78]Daniel Preotiuc-Pietro, Jordan Carpenter, Salvatore Giorgi, Lyle H. Ungar:
Studying the Dark Triad of Personality through Twitter Behavior. CIKM 2016: 761-770 - [c77]Laura Smith, Salvatore Giorgi, Rishi Solanki, Johannes C. Eichstaedt, H. Andrew Schwartz, Muhammad Abdul-Mageed, Anneke Buffone, Lyle H. Ungar:
Does 'well-being' translate on Twitter? EMNLP 2016: 2042-2047 - [c76]Masoud Rouhizadeh, Lyle H. Ungar, Anneke Buffone, H. Andrew Schwartz:
Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference. EMNLP 2016: 2054-2059 - [c75]Leqi Liu, Daniel Preotiuc-Pietro, Zahra Riahi Samani, Mohsen Ebrahimi Moghaddam, Lyle H. Ungar:
Analyzing Personality through Social Media Profile Picture Choice. ICWSM 2016: 211-220 - [c74]Dean Fulgoni, Jordan Carpenter, Lyle H. Ungar, Daniel Preotiuc-Pietro:
An Empirical Exploration of Moral Foundations Theory in Partisan News Sources. LREC 2016 - [c73]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:
Predicting Individual Well-Being Through the Language of Social Media. PSB 2016: 516-527 - [c72]Daniel Preotiuc-Pietro, H. Andrew Schwartz, Gregory J. Park, Johannes C. Eichstaedt, Margaret L. Kern, Lyle H. Ungar, Elisabeth Shulman:
Modelling Valence and Arousal in Facebook posts. WASSA@NAACL-HLT 2016: 9-15 - [e3]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 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016. IEEE Computer Society 2016, ISBN 978-1-4673-9005-7 [contents] - [e2]Kristy Hollingshead, Lyle H. Ungar:
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. The Association for Computational Linguistics 2016, ISBN 978-1-941643-54-9 [contents] - [i4]João Sedoc, Jean Gallier, Lyle H. Ungar, Dean P. Foster:
Semantic Word Clusters Using Signed Normalized Graph Cuts. CoRR abs/1601.05403 (2016) - 2015
- [j34]Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar:
Eigenwords: spectral word embeddings. J. Mach. Learn. Res. 16: 3035-3078 (2015) - [c71]Chris Callison-Burch, Lyle H. Ungar, Ellie Pavlick:
Crowdsourcing for NLP. HLT-NAACL 2015: 2-3 - [c70]Daniel Preotiuc-Pietro, Johannes C. Eichstaedt, Gregory J. Park, Maarten Sap, Laura Smith, Victoria Tobolsky, H. Andrew Schwartz, Lyle H. Ungar:
The role of personality, age, and gender in tweeting about mental illness. CLPsych@HLT-NAACL 2015: 21-30 - [c69]Daniel Preotiuc-Pietro, Maarten Sap, H. Andrew Schwartz, Lyle H. Ungar:
Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task. CLPsych@HLT-NAACL 2015: 40-45 - [c68]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:
Extracting Human Temporal Orientation from Facebook Language. HLT-NAACL 2015: 409-419 - 2014
- [j33]Jonathan Baron, Barbara A. Mellers, Philip E. Tetlock, Eric Stone, Lyle H. Ungar:
Two Reasons to Make Aggregated Probability Forecasts More Extreme. Decis. Anal. 11(2): 133-145 (2014) - [j32]Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar:
Spectral learning of latent-variable PCFGs: algorithms and sample complexity. J. Mach. Learn. Res. 15(1): 2399-2449 (2014) - [j31]Kevin W. Boyack, Michael Patek, Lyle H. Ungar, Patrick Yoon, Richard Klavans:
Classification of individual articles from all of science by research level. J. Informetrics 8(1): 1-12 (2014) - [j30]Paramveer S. Dhillon, David A. Wolk, Sandhitsu R. Das, Lyle H. Ungar, James C. Gee, Brian B. Avants:
Subject-specific functional parcellation via Prior Based Eigenanatomy. NeuroImage 99: 14-27 (2014) - [c67]H. Andrew Schwartz, Johannes C. Eichstaedt, Margaret L. Kern, Gregory J. Park, Maarten Sap, David Stillwell, Michal Kosinski, Lyle H. Ungar:
Towards Assessing Changes in Degree of Depression through Facebook. CLPsych@ACL 2014: 118-125 - [c66]Ronen Feldman, Moshe Fresko, Jacob Goldenberg, Oded Netzer, Lyle H. Ungar:
Analyzing Product Comparisons on Discussion Boards. Language, Culture, Computation (1) 2014: 399-408 - [c65]Maarten Sap, Gregory J. Park, Johannes C. Eichstaedt, Margaret L. Kern, David Stillwell, Michal Kosinski, Lyle H. Ungar, H. Andrew Schwartz:
Developing Age and Gender Predictive Lexica over Social Media. EMNLP 2014: 1146-1151 - 2013
- [j29]Shawndra Hill, Raina M. Merchant, Lyle H. Ungar:
Lessons Learned About Public Health from Online Crowd Surveillance. Big Data 1(3): 160-167 (2013) - [j28]Paramveer S. Dhillon, Dean P. Foster, Sham M. Kakade, Lyle H. Ungar:
A risk comparison of ordinary least squares vs ridge regression. J. Mach. Learn. Res. 14(1): 1505-1511 (2013) - [c64]H. Andrew Schwartz, Johannes C. Eichstaedt, Lukasz Dziurzynski, Margaret L. Kern, Eduardo Blanco, Michal Kosinski, David Stillwell, Martin E. P. Seligman, Lyle H. Ungar:
Toward Personality Insights from Language Exploration in Social Media. AAAI Spring Symposium: Analyzing Microtext 2013 - [c63]Panos M. Markopoulos, Ravi Aron, Lyle H. Ungar:
How do Infomediaries affect firms' information strategies, and how do they impact buyer and social welfare? ICIS 2013 - [c62]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:
Characterizing Geographic Variation in Well-Being Using Tweets. ICWSM 2013 - [c61]Shay B. Cohen, Michael Collins, Dean P. Foster, Karl Stratos, Lyle H. Ungar:
Spectral Learning Algorithms for Natural Language Processing. HLT-NAACL 2013: 13-15 - [c60]Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar:
Experiments with Spectral Learning of Latent-Variable PCFGs. HLT-NAACL 2013: 148-157 - [c59]Paramveer S. Dhillon, Yichao Lu, Dean P. Foster, Lyle H. Ungar:
New Subsampling Algorithms for Fast Least Squares Regression. NIPS 2013: 360-368 - [c58]Yichao Lu, Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar:
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform. NIPS 2013: 369-377 - [c57]Paramveer S. Dhillon, James C. Gee, Lyle H. Ungar, Brian B. Avants:
Anatomically-Constrained PCA for Image Parcellation. PRNI 2013: 25-28 - [c56]Pavel Atanasov, Phillip Rescober, Eric Stone, Emile Servan-Schreiber, Barbara A. Mellers, Philip Tetlock, Lyle H. Ungar:
The Marketcast Method for Aggregating Prediction Market Forecasts. SBP 2013: 28-37 - [c55]Jordan Rodu, Dean P. Foster, Weichen Wu, Lyle H. Ungar:
Using Regression for Spectral Estimation of HMMs. SLSP 2013: 212-223 - [c54]H. Andrew Schwartz, Johannes C. Eichstaedt, Eduardo Blanco, Lukasz Dziurzynski, Margaret L. Kern, Stephanie Ramones, Martin E. P. Seligman, Lyle H. Ungar:
Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach. *SEM@NAACL-HLT 2013: 296-305 - [i3]Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence:
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments. CoRR abs/1301.2303 (2013) - 2012
- [j27]Adrian Benton, John H. Holmes, Shawndra Hill, Annie Chung, Lyle H. Ungar:
medpie: an information extraction package for medical message board posts. Bioinform. 28(5): 743-744 (2012) - [j26]Shengyang Wu, Curtis P. Langlotz, Paras Lakhani, Lyle H. Ungar:
Extracting templates from radiology reports using sequence alignment. Int. J. Data Min. Bioinform. 6(6): 633-650 (2012) - [c53]Lyle H. Ungar, Barbara A. Mellers, Ville Satopää, Philip Tetlock, Jon Baron:
The Good Judgment Project: A Large Scale Test of Different Methods of Combining Expert Predictions. AAAI Fall Symposium: Machine Aggregation of Human Judgment 2012 - [c52]Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle H. Ungar:
Spectral Learning of Latent-Variable PCFGs. ACL (1) 2012: 223-231 - [c51]Adam Kapelner, Krishna Kaliannan, Hansen Andrew Schwartz, Lyle H. Ungar, Dean P. Foster:
New Insights from Coarse Word Sense Disambiguation in the Crowd. COLING (Posters) 2012: 539-548 - [c50]Hansen Andrew Schwartz, Fernando Gomez, Lyle H. Ungar:
Improving Supervised Sense Disambiguation with Web-Scale Selectors. COLING 2012: 2423-2440 - [c49]Paramveer S. Dhillon, Jordan Rodu, Michael Collins, Dean P. Foster, Lyle H. Ungar:
Spectral Dependency Parsing with Latent Variables. EMNLP-CoNLL 2012: 205-213 - [c48]Paramveer S. Dhillon, Jordan Rodu, Dean P. Foster, Lyle H. Ungar:
Using CCA to improve CCA: A new spectral method for estimating vector models of words. ICML 2012 - [c47]Paramveer S. Dhillon, Brian B. Avants, Lyle H. Ungar, James C. Gee:
Partial sparse canonical correlation analysis (PSCCA) for population studies in medical imaging. ISBI 2012: 1132-1135 - [c46]Sneha Jha, Hansen Andrew Schwartz, Lyle H. Ungar:
Penn: Using Word Similarities to better Estimate Sentence Similarity. SemEval@NAACL-HLT 2012: 679-683 - [i2]Dean P. Foster, Jordan Rodu, Lyle H. Ungar:
Spectral dimensionality reduction for HMMs. CoRR abs/1203.6130 (2012) - 2011
- [j25]Adrian Benton, Shawndra Hill, Lyle H. Ungar, Annie Chung, Charles E. Leonard, Cristin Freeman, John H. Holmes:
A system for de-identifying medical message board text. BMC Bioinform. 12(S-3): S2 (2011) - [j24]Adrian Benton, Lyle H. Ungar, Shawndra Hill, Sean Hennessy, Jun Mao, Annie Chung, Charles E. Leonard, John H. Holmes:
Identifying potential adverse effects using the web: A new approach to medical hypothesis generation. J. Biomed. Informatics 44(6): 989-996 (2011) - [j23]Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar:
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning. J. Mach. Learn. Res. 12: 525-564 (2011) - [c45]Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar:
Multi-View Learning of Word Embeddings via CCA. NIPS 2011: 199-207 - 2010
- [j22]Panos M. Markopoulos, Ravi Aron, Lyle H. Ungar:
Information markets for product attributes: A game theoretic, dual pricing mechanism. Decis. Support Syst. 49(2): 187-199 (2010) - [j21]Brian B. Avants, Philip A. Cook, Lyle H. Ungar, James C. Gee, Murray Grossman:
Dementia induces correlated reductions in white matter integrity and cortical thickness: A multivariate neuroimaging study with sparse canonical correlation analysis. NeuroImage 50(3): 1004-1016 (2010) - [j20]S. Phineas Upham, Lori Rosenkopf, Lyle H. Ungar:
Innovating knowledge communities - An analysis of group collaboration and competition in science and technology. Scientometrics 83(2): 525-554 (2010) - [j19]S. Phineas Upham, Lori Rosenkopf, Lyle H. Ungar:
Positioning knowledge: schools of thought and new knowledge creation. Scientometrics 83(2): 555-581 (2010) - [j18]Vasileios Kandylas, S. Phineas Upham, Lyle H. Ungar:
Analyzing knowledge communities using foreground and background clusters. ACM Trans. Knowl. Discov. Data 4(2): 7:1-7:35 (2010) - [c44]Rushin Shah, Paramveer S. Dhillon, Mark Y. Liberman, Dean P. Foster, Mohamed Maamouri, Lyle H. Ungar:
A New Approach to Lexical Disambiguation of Arabic Text. EMNLP 2010: 725-735 - [c43]Adrian Benton, Shawndra Hill, Lyle H. Ungar, Annie Chung, Charles E. Leonard, Cristin Freeman, John H. Holmes:
A System for De-identifying Medical Message Board Text. ICMLA 2010: 485-490 - [c42]Saurabh Goorha, Lyle H. Ungar:
Discovery of significant emerging trends. KDD 2010: 57-64 - [c41]Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar:
Feature Selection using Multiple Streams. AISTATS 2010: 153-160
2000 – 2009
- 2009
- [j17]Mahesh Yaragatti, Ted Sandler, Lyle H. Ungar:
A predictive model for identifying mini-regulatory modules in the mouse genome. Bioinform. 25(3): 353-357 (2009) - [c40]Paramveer S. Dhillon, Lyle H. Ungar:
Transfer Learning, Feature Selection and Word Sense Disambiguation. ACL/IJCNLP (2) 2009: 257-260 - [c39]Ted Sandler, Lyle H. Ungar, Koby Crammer:
Resolving Identity Uncertainty with Learned Random Walks. ICDM 2009: 457-465 - [c38]Luís Sarmento, Alexander Kehlenbeck, Eugénio C. Oliveira, Lyle H. Ungar:
Efficient Clustering of Web-Derived Data Sets. MLDM 2009: 398-412 - [c37]Luís Sarmento, Alexander Kehlenbeck, Eugénio C. Oliveira, Lyle H. Ungar:
An Approach to Web-Scale Named-Entity Disambiguation. MLDM 2009: 689-703 - [c36]Paramveer S. Dhillon, Brian Tomasik, Dean P. Foster, Lyle H. Ungar:
Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC). ECML/PKDD (1) 2009: 276-289 - [i1]Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar:
Transfer Learning Using Feature Selection. CoRR abs/0905.4022 (2009) - 2008
- [j16]Ravi Aron, Lyle H. Ungar, Annapurna Valluri:
A model of market power and efficiency in private electronic exchanges. Eur. J. Oper. Res. 187(3): 922-942 (2008) - [j15]Vasileios Kandylas, S. Phineas Upham, Lyle H. Ungar:
Finding cohesive clusters for analyzing knowledge communities. Knowl. Inf. Syst. 17(3): 335-354 (2008) - [c35]Perry Evans, Ted Sandler, Lyle H. Ungar:
Protein-Protein Interaction Network Alignment by Quantitative Simulation. BIBM 2008: 325-328 - [c34]Vasileios Kandylas, Lyle H. Ungar, Ted Sandler, Shane T. Jensen:
Multiway Clustering for Creating Biomedical Term Sets. BIBM 2008: 449-452 - [c33]Casey Whitelaw, Alexander Kehlenbeck, Nemanja Petrovic, Lyle H. Ungar:
Web-scale named entity recognition. CIKM 2008: 123-132 - [c32]Binyamin Rosenfeld, Ronen Feldman, Lyle H. Ungar:
Using sequence classification for filtering web pages. CIKM 2008: 1355-1356 - [c31]Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar:
Efficient Feature Selection in the Presence of Multiple Feature Classes. ICDM 2008: 779-784 - [c30]Ted Sandler, John Blitzer, Partha Pratim Talukdar, Lyle H. Ungar:
Regularized Learning with Networks of Features. NIPS 2008: 1401-1408 - 2007
- [j14]Andrew I. Schein, Lyle H. Ungar:
Active learning for logistic regression: an evaluation. Mach. Learn. 68(3): 235-265 (2007) - [c29]Vasileios Kandylas, S. Phineas Upham, Lyle H. Ungar:
Finding Cohesive Clusters for Analyzing Knowledge Communities. ICDM 2007: 203-212 - [c28]Ronen Feldman, Moshe Fresko, Jacob Goldenberg, Oded Netzer, Lyle H. Ungar:
Extracting Product Comparisons from Discussion Boards. ICDM 2007: 469-474 - 2006
- [j13]Ted Sandler, Andrew I. Schein, Lyle H. Ungar:
Automatic term list generation for entity tagging. Bioinform. 22(6): 651-657 (2006) - [j12]Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar:
Streamwise Feature Selection. J. Mach. Learn. Res. 7: 1861-1885 (2006) - [c27]Jinying Chen, Andrew I. Schein, Lyle H. Ungar, Martha Palmer:
An Empirical Study of the Behavior of Active Learning for Word Sense Disambiguation. HLT-NAACL 2006 - [e1]Tina Eliassi-Rad, Lyle H. Ungar, Mark Craven, Dimitrios Gunopulos:
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006. ACM 2006, ISBN 1-59593-339-5 [contents] - 2005
- [j11]Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock:
CROC: A New Evaluation Criterion for Recommender Systems. Electron. Commer. Res. 5(1): 51-74 (2005) - [j10]Roy H. Kwon, G. Anandalingam, Lyle H. Ungar:
Iterative Combinatorial Auctions with Bidder-Determined Combinations. Manag. Sci. 51(3): 407-418 (2005) - [c26]Lyle H. Ungar, Jing Zhou, Dean P. Foster, Bob A. Stine:
Streaming Feature Selection using IIC. AISTATS 2005: 357-364 - [c25]Panos M. Markopoulos, Ravi Aron, Lyle H. Ungar:
Is Online Product Information Availability Driven by Quality or Differentiation? ICIS 2005 - [c24]Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar:
Streaming feature selection using alpha-investing. KDD 2005: 384-393 - 2004
- [j9]Eugen C. Buehler, Jeffrey R. Sachs, Kui Shao, Ansuman Bagchi, Lyle H. Ungar:
The CRASSS plug-in for integrating annotation data with hierarchical clustering results. Bioinform. 20(17): 3266-3269 (2004) - [j8]Phillip P. Le, Amit Bahl, Lyle H. Ungar:
Using prior knowledge to improve genetic network reconstruction from microarray data. Silico Biol. 4(3): 335-353 (2004) - [c23]Alexandrin Popescul, Lyle H. Ungar:
Cluster-based concept invention for statistical relational learning. KDD 2004: 665-670 - 2003
- [c22]Andrew I. Schein, Lawrence K. Saul, Lyle H. Ungar:
A Generalized Linear Model for Principal Component Analysis of Binary Data. AISTATS 2003: 240-247 - [c21]Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock:
Statistical Relational Learning for Document Mining. ICDM 2003: 275-282 - [c20]Panos M. Markopoulos, Ravi Aron, Lyle H. Ungar:
Dual Pricing in Electronic Markets. ICIS 2003: 485-496 - [c19]Dmitry Pavlov, Alexandrin Popescul, David M. Pennock, Lyle H. Ungar:
Mixtures of Conditional Maximum Entropy Models. ICML 2003: 584-591 - [c18]Seung-Taek Park, Alexy Khrabrov, David M. Pennock, Steve Lawrence, C. Lee Giles, Lyle H. Ungar:
Static and Dynamic Analysis of the Internet's Susceptibility to Faults and Attacks. INFOCOM 2003: 2144-2154 - [c17]Gregory Z. Grudic, Vijay Kumar, Lyle H. Ungar:
Using policy gradient reinforcement learning on autonomous robot controllers. IROS 2003: 406-411 - 2002
- [c16]Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock:
Methods and metrics for cold-start recommendations. SIGIR 2002: 253-260 - 2001
- [c15]David C. Parkes, Lyle H. Ungar:
An auction-based method for decentralized train scheduling. Agents 2001: 43-50 - [c14]Gregory Z. Grudic, Lyle H. Ungar:
Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning. IJCAI 2001: 965-972 - [c13]Eugen C. Buehler, Lyle H. Ungar:
Maximum entropy methods for biological sequence modeling. BIOKDD 2001: 60-64 - [c12]Gregory Z. Grudic, Lyle H. Ungar:
Rates of Convergence of Performance Gradient Estimates Using Function Approximation and Bias in Reinforcement Learning. NIPS 2001: 1515-1522 - [c11]Panos M. Markopoulos, Lyle H. Ungar:
Pricing price information in e-commerce. EC 2001: 260-263 - [c10]Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence:
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments. UAI 2001: 437-444 - 2000
- [c9]David C. Parkes, Lyle H. Ungar:
Iterative Combinatorial Auctions: Theory and Practice. AAAI/IAAI 2000: 74-81 - [c8]David C. Parkes, Lyle H. Ungar:
Preventing Strategic Manipulation in Iterative Auctions: Proxy Agents and Price-Adjustment. AAAI/IAAI 2000: 82-89 - [c7]Gregory Z. Grudic, Lyle H. Ungar:
Localizing Search in Reinforcement Learning. AAAI/IAAI 2000: 590-595 - [c6]Alexandrin Popescul, Gary William Flake, Steve Lawrence, Lyle H. Ungar, C. Lee Giles:
Clustering and Identifying Temporal Trends in Document Databases. ADL 2000: 173-182 - [c5]Gregory Z. Grudic, Lyle H. Ungar:
Localizing Policy Gradient Estimates to Action Transition. ICML 2000: 343-350 - [c4]Andrew McCallum, Kamal Nigam, Lyle H. Ungar:
Efficient clustering of high-dimensional data sets with application to reference matching. KDD 2000: 169-178
1990 – 1999
- 1998
- [c3]David C. Parkes, Lyle H. Ungar, Dean P. Foster:
Accounting for Cognitive Costs in On-Line Auction Design. AMET 1998: 25-40 - 1997
- [j7]Evangelia Gazi, Warren D. Seider, Lyle H. Ungar:
A non-parametric Monte Carlo technique for controller verification. Autom. 33(5): 901-906 (1997) - [c2]Dale Schuurmans, Lyle H. Ungar, Dean P. Foster:
Characterizing the generalization performance of model selection strategies. ICML 1997: 340-348 - 1996
- [j6]Marcos Salganicoff, Lyle H. Ungar, Ruzena Bajcsy:
Active Learning for Vision-Based Robot Grasping. Mach. Learn. 23(2-3): 251-278 (1996) - 1995
- [j5]Jonathan M. Vinson, Lyle H. Ungar:
Dynamic process monitoring and fault diagnosis with qualitative models. IEEE Trans. Syst. Man Cybern. 25(1): 181-189 (1995) - [c1]Marcos Salganicoff, Lyle H. Ungar:
Active Exploration and Learning in real-Valued Spaces using Multi-Armed Bandit Allocation Indices. ICML 1995: 480-487 - 1994
- [j4]Dimitris C. Psichogios, Lyle H. Ungar:
SVD-NET: an algorithm that automatically selects network structure. IEEE Trans. Neural Networks 5(3): 513-515 (1994) - 1992
- [j3]Jonathan M. Vinson, Stephen D. Grantham, Lyle H. Ungar:
Automatic Rebuilding of Qualitative Models for Diagnosis. IEEE Expert 7(4): 23-30 (1992) - [j2]James A. Leonard, Mark A. Kramer, Lyle H. Ungar:
Using radial basis functions to approximate a function and its error bounds. IEEE Trans. Neural Networks 3(4): 624-627 (1992)
1980 – 1989
- 1988
- [j1]Lyle H. Ungar, N. Ramprasad, R. A. Brown:
Finite element methods for unsteady solidification problems arising in prediction of morphological structure. J. Sci. Comput. 3(1): 77-108 (1988)
Coauthor Index
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