Acquiring Knowledge from the Web to be used as Selectors for Noun Sense Disambiguation. - Hansen Andrew Schwartz; Fernando Gomez (CoNLL, 2008)

A Semantic Feature for Verbal Predicate and Semantic Role Labeling Using SVMs. - Hansen Andrew Schwartz; Fernando Gomez; Christopher Millward (FLAIRS, 2008)

Using Web Selectors for the Disambiguation of All Words. - Hansen Andrew Schwartz; Fernando Gomez (SEW@NAACL-HLT, 2009)

Linguistic Text Mining for Problem Reports. - Jane T. Malin; David Rutherford Throop; Christopher Millward; Fernando Gomez; Carroll Thronesbery; Hansen Andrew Schwartz (SMC, 2009)

UCF-WS: Domain Word Sense Disambiguation Using Web Selectors. - Hansen Andrew Schwartz; Fernando Gomez (SemEval@ACL, 2010)

Evaluating Semantic Metrics on Tasks of Concept Similarity. - Hansen Andrew Schwartz; Fernando Gomez (FLAIRS, 2011)

New Insights from Coarse Word Sense Disambiguation in the Crowd. - Adam Kapelner; Krishna Kaliannan; Hansen Andrew Schwartz; Lyle H. Ungar; Dean P. Foster (COLING (Posters), 2012)

Improving Supervised Sense Disambiguation with Web-Scale Selectors. - Hansen Andrew Schwartz; Fernando Gomez; Lyle H. Ungar (COLING, 2012)

Penn: Using Word Similarities to better Estimate Sentence Similarity. - Sneha Jha; Hansen Andrew Schwartz; Lyle H. Ungar (SemEval@NAACL-HLT, 2012)

Toward Personality Insights from Language Exploration in Social Media. - H. Andrew Schwartz; Johannes C. Eichstaedt; Lukasz Dziurzynski; Margaret L. Kern; Eduardo Blanco 002; Michal Kosinski; David Stillwell; Martin E. P. Seligman; Lyle H. Ungar (AAAI Spring Symposium: Analyzing Microtext, 2013)

Characterizing Geographic Variation in Well-Being Using Tweets. - 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 (ICWSM, 2013)

Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach. - H. Andrew Schwartz; Johannes C. Eichstaedt; Eduardo Blanco 002; Lukasz Dziurzynski; Margaret L. Kern; Stephanie Ramones; Martin E. P. Seligman; Lyle H. Ungar (*SEM@NAACL-HLT, 2013)

Towards Assessing Changes in Degree of Depression through Facebook. - H. Andrew Schwartz; Johannes C. Eichstaedt; Margaret L. Kern; Gregory J. Park; Maarten Sap; David Stillwell; Michal Kosinski; Lyle H. Ungar (CLPsych@ACL, 2014)

Developing Age and Gender Predictive Lexica over Social Media. - Maarten Sap; Gregory J. Park; Johannes C. Eichstaedt; Margaret L. Kern; David Stillwell; Michal Kosinski; Lyle H. Ungar; H. Andrew Schwartz (EMNLP, 2014)

The role of personality, age, and gender in tweeting about mental illness. - Daniel Preotiuc-Pietro; Johannes C. Eichstaedt; Gregory J. Park; Maarten Sap; Laura Smith; Victoria Tobolsky; H. Andrew Schwartz; Lyle H. Ungar (CLPsych@HLT-NAACL, 2015)

Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task. - Daniel Preotiuc-Pietro; Maarten Sap; H. Andrew Schwartz; Lyle H. Ungar (CLPsych@HLT-NAACL, 2015)

Extracting Human Temporal Orientation from Facebook Language. - 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 (HLT-NAACL, 2015)

The Clinical Panel: Leveraging Psychological Expertise During NLP Research. - Glen Coppersmith; Kristy Hollingshead; H. Andrew Schwartz; Molly Ireland; Rebecca Resnik; Kate Loveys; April Foreman; Loring Ingraham (NLP+CSS@EMNLP, 2016)

Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference. - Masoud Rouhizadeh; Lyle H. Ungar; Anneke Buffone; H. Andrew Schwartz (EMNLP, 2016)

Does 'well-being' translate on Twitter? - Laura Smith; Salvatore Giorgi; Rishi Solanki; Johannes C. Eichstaedt; H. Andrew Schwartz; Muhammad Abdul-Mageed; Anneke Buffone; Lyle H. Ungar (EMNLP, 2016)

Predicting Individual Well-Being Through the Language of Social Media. - H. Andrew Schwartz; Maarten Sap; Margaret L. Kern; Johannes C. Eichstaedt; Adam Kapelner; Megha Agrawal; Eduardo Blanco 002; Lukasz Dziurzynski; Gregory J. Park; David Stillwell; Michal Kosinski; Martin E. P. Seligman; et al. (PSB, 2016)

Modelling Valence and Arousal in Facebook posts. - Daniel Preotiuc-Pietro; H. Andrew Schwartz; Gregory J. Park; Johannes C. Eichstaedt; Margaret L. Kern; Lyle H. Ungar; Elisabeth Shulman (WASSA@NAACL-HLT, 2016)

On the Distribution of Lexical Features at Multiple Levels of Analysis. - Fatemeh Almodaresi; Lyle H. Ungar; Vivek Kulkarni; Mohsen Zakeri; Salvatore Giorgi; H. Andrew Schwartz (ACL (2), 2017)

Recognizing Counterfactual Thinking in Social Media Texts. - Youngseo Son; Anneke Buffone; Joe Raso; Allegra Larche; Anthony Janocko; Kevin Zembroski; H. Andrew Schwartz; Lyle H. Ungar (ACL (2), 2017)

Using Twitter Language to Predict the Real Estate Market. - Mohammadzaman Zamani; H. Andrew Schwartz (EACL (2), 2017)

Human Centered NLP with User-Factor Adaptation. - Veronica E. Lynn; Youngseo Son; Vivek Kulkarni; Niranjan Balasubramanian; H. Andrew Schwartz (EMNLP, 2017)

DLATK: Differential Language Analysis ToolKit. - H. Andrew Schwartz; Salvatore Giorgi; Maarten Sap; Patrick Crutchley; Lyle H. Ungar; Johannes C. Eichstaedt (EMNLP (System Demonstrations), 2017)

Assessing Objective Recommendation Quality through Political Forecasting. - H. Andrew Schwartz; Masoud Rouhizadeh; Michael Bishop; Philip Tetlock; Barbara A. Mellers; Lyle H. Ungar (EMNLP, 2017)

Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions. - Daniel Rieman; Kokil Jaidka; H. Andrew Schwartz; Lyle H. Ungar (IJCNLP(1), 2017)

Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach. - Vivek Kulkarni; Margaret L. Kern; David Stillwell; Michal Kosinski; Sandra Matz; Lyle H. Ungar; Steven Skiena; H. Andrew Schwartz (CoRR, 2017)

CLPsych 2018 Shared Task: Predicting Current and Future Psychological Health from Childhood Essays. - Veronica E. Lynn; Alissa Goodman; Kate Niederhoffer; Kate Loveys; Philip Resnik; H. Andrew Schwartz (CLPsych@NAACL-HTL, 2018)

Predicting Human Trustfulness from Facebook Language. - Mohammadzaman Zamani; Anneke Buffone; H. Andrew Schwartz (CLPsych@NAACL-HTL, 2018)

The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. - Salvatore Giorgi; Daniel Preotiuc-Pietro; Anneke Buffone; Daniel Rieman; Lyle H. Ungar; H. Andrew Schwartz (EMNLP, 2018)

Identifying Locus of Control in Social Media Language. - Masoud Rouhizadeh; Kokil Jaidka; Laura Smith; H. Andrew Schwartz; Anneke Buffone; Lyle H. Ungar (EMNLP, 2018)

Causal Explanation Analysis on Social Media. - Youngseo Son; Nipun Bayas; H. Andrew Schwartz (EMNLP, 2018)

Residualized Factor Adaptation for Community Social Media Prediction Tasks. - Mohammadzaman Zamani; H. Andrew Schwartz; Veronica E. Lynn; Salvatore Giorgi; Niranjan Balasubramanian (EMNLP, 2018)

Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations. - Sven Buechel; João Sedoc; H. Andrew Schwartz; Lyle H. Ungar (CoRR, 2018)

TV Ad Events and Digital Search: On the Selection of Outcome Measures. - Shawndra Hill; Anthony M. Colas; H. Andrew Schwartz; Gordon Burtch (IEEE BigData, 2019)

Using Search Queries to Understand Health Information Needs in Africa. - Rediet Abebe; Shawndra Hill; Jennifer Wortman Vaughan; Peter M. Small; H. Andrew Schwartz (ICWSM, 2019)

Correcting Sociodemographic Selection Biases for Accurate Population Prediction from Social Media. - Salvatore Giorgi; Veronica E. Lynn; Sandra Matz; Lyle H. Ungar; H. Andrew Schwartz (CoRR, 2019)

Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention. - Veronica E. Lynn; Niranjan Balasubramanian; H. Andrew Schwartz (ACL, 2020)

Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview. - Deven Shah; H. Andrew Schwartz; Dirk Hovy (ACL, 2020)

Autoregressive Affective Language Forecasting: A Self-Supervised Task. - Matthew Matero; H. Andrew Schwartz (COLING, 2020)

Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings. - Roshan Santosh; H. Andrew Schwartz; Johannes C. Eichstaedt; Lyle H. Ungar; Sharath Chandra Guntuku (NLP4COVID@EMNLP, 2020)

JustCorrect: Intelligent Post Hoc Text Correction Techniques on Smartphones. - Wenzhe Cui; Suwen Zhu; Mingrui Ray Zhang; H. Andrew Schwartz; Jacob O. Wobbrock; Xiaojun Bi 001 (UIST, 2020)

Quantifying Community Characteristics of Maternal Mortality Using Social Media. - Rediet Abebe; Salvatore Giorgi; Anna Tedijanto; Anneke Buffone; H. Andrew Schwartz (WWW, 2020)

World Trade Center responders in their own words: Predicting PTSD symptom trajectories with AI-based language analyses of interviews. - Youngseo Son; Sean A. P. Clouston; Roman Kotov; Johannes C. Eichstaedt; Evelyn J. Bromet; Benjamin J. Luft; H. Andrew Schwartz (CoRR, 2020)

Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods. - Kokil Jaidka; Salvatore Giorgi; H. Andrew Schwartz; Margaret L. Kern; Lyle H. Ungar; Johannes C. Eichstaedt (Proc. Natl. Acad. Sci. USA, 2020)

Characterizing Social Spambots by their Human Traits. - Salvatore Giorgi; Lyle H. Ungar; H. Andrew Schwartz (ACL/IJCNLP (Findings), 2021)

On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers. - Tianchu Ji; Shraddhan Jain; Michael Ferdman; Peter A. Milder; H. Andrew Schwartz; Niranjan Balasubramanian (ACL/IJCNLP (Findings), 2021)

MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection. - Matthew Matero; Nikita Soni 002; Niranjan Balasubramanian; H. Andrew Schwartz (EMNLP (Findings), 2021)

Well-Being Depends on Social Comparison: Hierarchical Models of Twitter Language Suggest That Richer Neighbors Make You Less Happy. - Salvatore Giorgi; Sharath Chandra Guntuku; Johannes C. Eichstaedt; Claire Pajot; H. Andrew Schwartz; Lyle H. Ungar (ICWSM, 2021)

Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality. - Adithya V. Ganesan; Matthew Matero; Aravind Reddy Ravula; Huy Vu; H. Andrew Schwartz (NAACL-HLT, 2021)

Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the Ordinary. - Mohammadzaman Zamani; H. Andrew Schwartz (WWW, 2021)

Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media. - Youngseo Son; H. Andrew Schwartz (CoRR, 2021)

Understanding RoBERTa's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Prediction. - Matthew Matero; Albert Hung; H. Andrew Schwartz (CoRR, 2021)

Information-seeking vs. sharing: Which explains regional health? An analysis of Google Search and Twitter trends. - Kokil Jaidka; Johannes C. Eichstaedt; Salvatore Giorgi; H. Andrew Schwartz; Lyle H. Ungar (Telematics Informatics, 2021)

Human Language Modeling. - Nikita Soni 002; Matthew Matero; Niranjan Balasubramanian; H. Andrew Schwartz (ACL (Findings), 2022)

Correcting Sociodemographic Selection Biases for Population Prediction from Social Media. - Salvatore Giorgi; Veronica E. Lynn; Keshav Gupta; Farhan Ahmed; Sandra Matz; Lyle H. Ungar; H. Andrew Schwartz (ICWSM, 2022)

Modeling Latent Dimensions of Human Beliefs. - Huy Vu; Salvatore Giorgi; Jeremy D. W. Clifton; Niranjan Balasubramanian; H. Andrew Schwartz (ICWSM, 2022)

Understanding BERT's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Assessment. - Matthew Matero; Albert Hung; H. Andrew Schwartz (WASSA@ACL, 2022)

Discourse-Level Representations can Improve Prediction of Degree of Anxiety. - Swanie Juhng; Matthew Matero; Vasudha Varadarajan; Johannes C. Eichstaedt; Adithya V. Ganesan; H. Andrew Schwartz (ACL (2), 2023)

Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge. - Vasudha Varadarajan; Swanie Juhng; Syeda Mahwish; Xiaoran Liu; Jonah Luby; Christian C. Luhmann; H. Andrew Schwartz (ACL (1), 2023)

"I Slept Like a Baby": Using Human Traits To Characterize Deceptive ChatGPT and Human Text. - Salvatore Giorgi; David M. Markowitz; Nikita Soni 002; Vasudha Varadarajan; Siddharth Mangalik; H. Andrew Schwartz (IACT@SIGIR, 2023)

Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation. - Adithya V. Ganesan; Yash Kumar Lal; August Håkan Nilsson; H. Andrew Schwartz (WASSA@ACL, 2023)

Human-Centered Metrics for Dialog System Evaluation. - Salvatore Giorgi; Shreya Havaldar; Farhan Ahmed; Zuhaib Akhtar; Shalaka Vaidya; Gary Pan; Lyle H. Ungar; H. Andrew Schwartz; João Sedoc (CoRR, 2023)

Adaptive Language-based Mental Health Assessment with Item-Response Theory. - Vasudha Varadarajan; Sverker Sikström; Oscar N. E. Kjell; H. Andrew Schwartz (CoRR, 2023)

Opioid death projections with AI-based forecasts using social media language. - Matthew Matero; Salvatore Giorgi; Brenda Curtis; Lyle H. Ungar; H. Andrew Schwartz (npj Digit. Medicine, 2023)

Author Correction: Opioid death projections with AI-based forecasts using social media language. - Matthew Matero; Salvatore Giorgi; Brenda Curtis; Lyle H. Ungar; H. Andrew Schwartz (npj Digit. Medicine, 2023)

SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks. - Gourab Dey; Adithya V. Ganesan; Yash Kumar Lal; Manal Shah; Shreyashee Sinha; Matthew Matero; Salvatore Giorgi; Vivek Kulkarni; H. Andrew Schwartz (EACL (2), 2024)

Large Human Language Models: A Need and the Challenges. - Nikita Soni 002; H. Andrew Schwartz; João Sedoc; Niranjan Balasubramanian (NAACL-HLT, 2024)

ALBA: Adaptive Language-Based Assessments for Mental Health. - Vasudha Varadarajan; Sverker Sikström; Oscar N. E. Kjell; H. Andrew Schwartz (NAACL-HLT, 2024)

Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both? - Nikita Soni 002; Niranjan Balasubramanian; H. Andrew Schwartz; Dirk Hovy (WASSA, 2024)

Comparing Human-Centered Language Modeling: Is it Better to Model Groups, Individual Traits, or Both? - Nikita Soni 002; Niranjan Balasubramanian; H. Andrew Schwartz; Dirk Hovy (CoRR, 2024)

Explaining GPT-4's Schema of Depression Using Machine Behavior Analysis. - Adithya V. Ganesan; Vasudha Varadarajan; Yash Kumar Lal; Veerle C. Eijsbroek; Katarina Kjell; Oscar N. E. Kjell; Tanuja Dhanasekaran; Elizabeth C. Stade; Johannes C. Eichstaedt; Ryan L. Boyd; H. Andrew Schwartz; Lucie Flek (CoRR, 2024)

PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health. - 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 (CoRR, 2024)

Robust language-based mental health assessments in time and space through social media. - Siddharth Mangalik; Johannes C. Eichstaedt; Salvatore Giorgi; Jihu Mun; Farhan Ahmed; Gilvir Gill; Adithya V. Ganesan; Shashanka Subrahmanya; Nikita Soni 002; Sean A. P. Clouston; H. Andrew Schwartz (npj Digit. Medicine, 2024)

Capturing Author Self Beliefs in Social Media Language. - Siddharth Mangalik; Adithya V. Ganesan; Abigail B. Wheeler; Nicholas Kerry; Jeremy D. W. Clifton; H. Andrew Schwartz; Ryan L. Boyd (ACL (1), 2025)

WhiSPA: Semantically and Psychologically Aligned Whisper with Self-Supervised Contrastive and Student-Teacher Learning. - Rajath Rao; Adithya V. Ganesan; Oscar N. E. Kjell; Jonah Luby; Akshay Raghavan; Scott M. Feltman; Whitney Ringwald; Ryan L. Boyd; Benjamin J. Luft; Camilo J. Ruggero; Neville Ryant; Roman Kotov; et al. (ACL (1), 2025)

Systematic Evaluation of Auto-Encoding and Large Language Model Representations for Capturing Author States and Traits. - Khushboo Singh; Vasudha Varadarajan; Adithya V. Ganesan; August Håkan Nilsson; Nikita Soni 002; Syeda Mahwish; Pranav Chitale; Ryan L. Boyd; Lyle H. Ungar; Richard N. Rosenthal; H. Andrew Schwartz (ACL (Findings), 2025)

The Consistent Lack of Variance of Psychological Factors Expressed by LLMs and Spambots. - Vasudha Varadarajan; Salvatore Giorgi; Siddharth Mangalik; Nikita Soni 002; David M. Markowitz; H. Andrew Schwartz (COLING Workshops, 2025)

Unifying the Extremes: Developing a Unified Model for Detecting and Predicting Extremist Traits and Radicalization. - Allison Lahnala; Vasudha Varadarajan; Lucie Flek; H. Andrew Schwartz; Ryan L. Boyd (ICWSM, 2025)

Evaluation of LLMs-based Hidden States as Author Representations for Psychological Human-Centered NLP Tasks. - Nikita Soni 002; Pranav Chitale; Khushboo Singh; Niranjan Balasubramanian; H. Andrew Schwartz (NAACL (Findings), 2025)

Capturing Human Cognitive Styles with Language: Towards an Experimental Evaluation Paradigm. - Vasudha Varadarajan; Syeda Mahwish; Xiaoran Liu; Julia Buffolino; Christian C. Luhmann; Ryan L. Boyd; H. Andrew Schwartz (NAACL (Short Papers), 2025)

MAQuA: Adaptive Question-Asking for Multidimensional Mental Health Screening using Item Response Theory. - Vasudha Varadarajan; Hui Xu; Rebecca Astrid Boehme; Mariam Marlan Mirstrom; Sverker Sikström; H. Andrew Schwartz (CoRR, 2025)