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ORCIDLyle H. Ungar
Lyle Ungar
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- affiliation: University of Pennsylvania, Computer and Information Science Department
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2020 – today
- 2021
[j43]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)- 2020
- [j42]Mingyang Li, Louis Hickman, Louis Tay, Lyle 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) - [c124]Niyati Chhaya, Kokil Jaidka, Jennifer Healey, Lyle Ungar, Atanu R. Sinha:
Editorial for the 3rd Workshop on Affective Content Analysis (AffCon) at AAAI 2020. AffCon@AAAI 2020: 1-10 - [c123]Kokil Jaidka, Iknoor Singh, Jiahui Liu, Niyati Chhaya, Lyle Ungar:
A report of the CL-Aff OffMyChest Shared Task: Modeling Supportiveness and Disclosure. AffCon@AAAI 2020: 118-129 - [c122]Huy Vu, Suhaib Abdurahman, Sudeep Bhatia, Lyle Ungar:
Predicting Responses to Psychological Questionnaires from Participants' Social Media Posts and Question Text Embeddings. EMNLP (Findings) 2020: 1512-1524 - [c121]Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim A. Elmadany, Lyle Ungar:
Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments. EMNLP (1) 2020: 5855-5876 - [c120]Kokil Jaidka, Niyati Chhaya, Saran Mumick, Matthew Killingsworth, Alon Y. Halevy, Lyle 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 Ungar:
Learning Word Ratings for Empathy and Distress from Document-Level User Responses. LREC 2020: 1664-1673 - [c118]Pavel Atanasov, Jens Witkowski, Lyle 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 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 Ungar:
Generalized SHAP: Generating multiple types of explanations in machine learning. CoRR abs/2006.07155 (2020) - [i27]Mingyang Li, Louis Hickman, Louis Tay, Lyle 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 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 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 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 Ungar:
The CL-Aff Happiness Shared Task: Results and Key Insights. AffCon@AAAI 2019: 39-49 - [c115]Tianlin Liu, Lyle 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 Ungar, Chris Callison-Burch:
ChatEval: A Tool for Chatbot Evaluation. NAACL-HLT (Demonstrations) 2019: 60-65 - [c110]Tianlin Liu, Lyle 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 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 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, J. H. Friedman, Lyle H. Ungar, R. 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 Ungar, João Sedoc:
Continual Learning for Sentence Representations Using Conceptors. CoRR abs/1904.09187 (2019) - [i20]Saket Karve, Lyle 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 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 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 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 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 Ungar, Dolores Albarracin, ChengXiang Zhai:
Multi-Attribute Topic Feature Construction for Social Media-based Prediction. 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 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, 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 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 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]