← Authors

H. Andrew Schwartz

54 papers · 2012–2026 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (83) πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion (5) 🀝 Dynamic Duo (16) ⚑ Prolific Year (6) πŸ’Ž Century Club (53) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (230) πŸ”₯ Unstoppable (11) ❓ The Questioner (2)

Conferences

ACL (14) NAACL (14) EMNLP (13) COLING (5) EACL (5) IJCNLP (3)

Top co-authors

Lyle Ungar (16) Vasudha Varadarajan (14) Salvatore Giorgi (13) Nikita Soni (12) Niranjan Balasubramanian (11) Matthew Matero (10) Johannes Eichstaedt (8) Adithya V Ganesan (8) Syeda Mahwish (6) Veronica Lynn (5)

Keywords

text classification (15) social media analysis (12) social media (6) sentiment analysis (6) mental health (5) natural language processing (5) large language model (5) language model (5) personality prediction (4) transfer learning (4) stance detection (4) social science (3) psychological trait (3) few-shot learning (2) lexical feature (2) multi-task learning (2) discourse analysis (2) support vector machine (2) self-supervised learning (2) item response theory (2)

Papers

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