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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
[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 - [i52]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) - [i51]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) - [i50]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) - [i49]Jordan K. Matelsky, Lyle H. Ungar, Konrad P. Kording:
Empirical influence functions to understand the logic of fine-tuning. CoRR abs/2406.00509 (2024) - [i48]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) - [i47]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) - [i46]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) - [i45]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) - 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]Li S. Yifei, 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]