H. Andrew Schwartz

MAQuA: Multi-outcome Adaptive Question-Asking for Mental Health using Item Response Theory EACL 2026 From Word Sequences to Behavioral Sequences: Adapting Modeling and Evaluation Paradigms for Longitudinal NLP ACL 2026 Responsible Evaluation of AI for Mental Health ACL 2026 Linking Language-based Distortion Detection to Mental Health Outcomes NAACL 2025 Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models NAACL 2025 Evaluation of LLMs-based Hidden States as Author Representations for Psychological Human-Centered NLP Tasks NAACL 2025 Capturing Author Self Beliefs in Social Media Language ACL 2025 The Consistent Lack of Variance of Psychological Factors Expressed by LLMs and Spambots COLING 2025 Capturing Human Cognitive Styles with Language: Towards an Experimental Evaluation Paradigm NAACL 2025 WhiSPA: Semantically and Psychologically Aligned Whisper with Self-Supervised Contrastive and Student-Teacher Learning ACL 2025 Systematic Evaluation of Auto-Encoding and Large Language Model Representations for Capturing Author States and Traits ACL 2025 SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks EACL 2024 Archetypes and Entropy: Theory-Driven Extraction of Evidence for Suicide Risk EACL 2024 ALBA: Adaptive Language-Based Assessments for Mental Health NAACL 2024 Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both? ACL 2024 From Text to Context: Contextualizing Language with Humans, Groups, and Communities for Socially Aware NLP NAACL 2024 Large Human Language Models: A Need and the Challenges NAACL 2024 Using Daily Language to Understand Drinking: Multi-Level Longitudinal Differential Language Analysis EACL 2024 Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation ACL 2023 Discourse-Level Representations can Improve Prediction of Degree of Anxiety ACL 2023 Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge ACL 2023 Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media EMNLP 2022 Human Language Modeling ACL 2022 Evaluating Contextual Embeddings and their Extraction Layers for Depression Assessment ACL 2022 Detecting Dissonant Stance in Social Media: The Role of Topic Exposure EMNLP 2022 WWBP-SQT-lite: Multi-level Models and Difference Embeddings for Moments of Change Identification in Mental Health Forums NAACL 2022 Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality NAACL 2021 MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection EMNLP 2021 Characterizing Social Spambots by their Human Traits ACL 2021 On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers ACL 2021 Characterizing Social Spambots by their Human Traits IJCNLP 2021 On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers IJCNLP 2021 Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview ACL 2020 Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations COLING 2020 Autoregressive Affective Language Forecasting: A Self-Supervised Task COLING 2020 Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings EMNLP 2020 Understanding Weekly COVID-19 Concerns through Dynamic Content-Specific LDA Topic Modeling EMNLP 2020 Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention ACL 2020 Suicide Risk Assessment with Multi-level Dual-Context Language and BERT NAACL 2019 Tweet Classification without the Tweet: An Empirical Examination of User versus Document Attributes NAACL 2019 CLPsych 2018 Shared Task: Predicting Current and Future Psychological Health from Childhood Essays NAACL 2018 Predicting Human Trustfulness from Facebook Language NAACL 2018 Residualized Factor Adaptation for Community Social Media Prediction Tasks EMNLP 2018 The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions EMNLP 2018 Causal Explanation Analysis on Social Media EMNLP 2018 Identifying Locus of Control in Social Media Language EMNLP 2018 Assessing Objective Recommendation Quality through Political Forecasting EMNLP 2017 On the Distribution of Lexical Features at Multiple Levels of Analysis ACL 2017 Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions IJCNLP 2017 Using Twitter Language to Predict the Real Estate Market EACL 2017 Human Centered NLP with User-Factor Adaptation EMNLP 2017 DLATK: Differential Language Analysis ToolKit EMNLP 2017 Does ‘well-being’ translate on Twitter? EMNLP 2016 Extracting Human Temporal Orientation from Facebook Language NAACL 2015 New Insights from Coarse Word Sense Disambiguation in the Crowd COLING 2012 Improving Supervised Sense Disambiguation with Web-Scale Selectors COLING 2012