H. Andrew Schwartz

According to our database, H. Andrew Schwartz authored at least 77 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Sean A. P. Clouston, H. Andrew Schwartz

npj Digit. Medicine, 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

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

Comparing Human-Centered Language Modeling: Is it Better to Model Groups, Individual Traits, or Both?

Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz, Dirk Hovy

CoRR, 2024

Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?

Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz, Dirk Hovy

Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

ALBA: Adaptive Language-Based Assessments for Mental Health.

Vasudha Varadarajan, Sverker Sikström, Oscar N. E. Kjell, H. Andrew Schwartz

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Large Human Language Models: A Need and the Challenges.

Nikita Soni, H. Andrew Schwartz, João Sedoc, Niranjan Balasubramanian

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

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

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

Adaptive Language-based Mental Health Assessment with Item-Response Theory.

Vasudha Varadarajan, Sverker Sikström, Oscar N. E. Kjell, H. Andrew Schwartz

CoRR, 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

Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation.

Adithya V. Ganesan, Yash Kumar Lal, August Håkan Nilsson, H. Andrew Schwartz

Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

"I Slept Like a Baby": Using Human Traits To Characterize Deceptive ChatGPT and Human Text.

Salvatore Giorgi, David M. Markowitz, Nikita Soni, Vasudha Varadarajan, Siddharth Mangalik, H. Andrew Schwartz

Proceedings of the IACT, 2023

Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge.

Vasudha Varadarajan, Swanie Juhng, Syeda Mahwish, Xiaoran Liu, Jonah Luby, Christian Luhmann, H. Andrew Schwartz

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Understanding BERT's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Assessment.

Matthew Matero, Albert Hung, H. Andrew Schwartz

Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

Modeling Latent Dimensions of Human Beliefs.

Huy Vu, Salvatore Giorgi, Jeremy D. W. Clifton, Niranjan Balasubramanian, H. Andrew Schwartz

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 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

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Human Language Modeling.

Nikita Soni, Matthew Matero, Niranjan Balasubramanian, H. Andrew Schwartz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

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

Understanding RoBERTa's Mood: The Role of Contextual-Embeddings as User-Representations for Depression Prediction.

Matthew Matero, Albert Hung, H. Andrew Schwartz

CoRR, 2021

Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media.

Youngseo Son, H. Andrew Schwartz

CoRR, 2021

Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the Ordinary.

Mohammadzaman Zamani, H. Andrew Schwartz

Proceedings of the WWW '21: The Web Conference 2021, 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

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection.

Matthew Matero, Nikita Soni, Niranjan Balasubramanian, H. Andrew Schwartz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 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

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Characterizing Social Spambots by their Human Traits.

Salvatore Giorgi, Lyle H. Ungar, H. Andrew Schwartz

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

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

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

Quantifying Community Characteristics of Maternal Mortality Using Social Media.

Rediet Abebe, Salvatore Giorgi, Anna Tedijanto, Anneke Buffone, H. Andrew Schwartz

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 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

Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 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

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

Autoregressive Affective Language Forecasting: A Self-Supervised Task.

Matthew Matero, H. Andrew Schwartz

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview.

Deven Shah, H. Andrew Schwartz, Dirk Hovy

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention.

Veronica E. Lynn, Niranjan Balasubramanian, H. Andrew Schwartz

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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

Using Search Queries to Understand Health Information Needs in Africa.

Rediet Abebe, Shawndra Hill, Jennifer Wortman Vaughan, Peter M. Small, H. Andrew Schwartz

Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

TV Ad Events and Digital Search: On the Selection of Outcome Measures.

Shawndra Hill, Anthony M. Colas, H. Andrew Schwartz, Gordon Burtch

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

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

Residualized Factor Adaptation for Community Social Media Prediction Tasks.

Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn, Salvatore Giorgi, Niranjan Balasubramanian

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Causal Explanation Analysis on Social Media.

Youngseo Son, Nipun Bayas, H. Andrew Schwartz

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Identifying Locus of Control in Social Media Language.

Masoud Rouhizadeh, Kokil Jaidka, Laura Smith, H. Andrew Schwartz, Anneke Buffone, Lyle H. Ungar

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 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

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Predicting Human Trustfulness from Facebook Language.

Mohammadzaman Zamani, Anneke Buffone, H. Andrew Schwartz

Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, 2018

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

Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, 2018

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

Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions.

Daniel Rieman, Kokil Jaidka, H. Andrew Schwartz, Lyle H. Ungar

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Assessing Objective Recommendation Quality through Political Forecasting.

H. Andrew Schwartz, Masoud Rouhizadeh, Michael Bishop, Philip Tetlock, Barbara A. Mellers, Lyle H. Ungar

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

DLATK: Differential Language Analysis ToolKit.

H. Andrew Schwartz, Salvatore Giorgi, Maarten Sap, Patrick Crutchley, Lyle H. Ungar, Johannes C. Eichstaedt

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Human Centered NLP with User-Factor Adaptation.

Veronica E. Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, H. Andrew Schwartz

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Using Twitter Language to Predict the Real Estate Market.

Mohammadzaman Zamani, H. Andrew Schwartz

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 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

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

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

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

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

Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, 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, Lukasz Dziurzynski, Gregory J. Park, David Stillwell, Michal Kosinski, Martin E. P. Seligman, Lyle H. Ungar

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 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

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference.

Masoud Rouhizadeh, Lyle H. Ungar, Anneke Buffone, H. Andrew Schwartz

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

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

Proceedings of the First Workshop on NLP and Computational Social Science, 2016

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

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 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

Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2015

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

Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2015

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

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

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

Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2014

2013

Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach.

H. Andrew Schwartz, Johannes C. Eichstaedt, Eduardo Blanco, Lukasz Dziurzynski, Margaret L. Kern, Stephanie Ramones, Martin E. P. Seligman, Lyle H. Ungar

Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 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

Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Toward Personality Insights from Language Exploration in Social Media.

H. Andrew Schwartz, Johannes C. Eichstaedt, Lukasz Dziurzynski, Margaret L. Kern, Eduardo Blanco, Michal Kosinski, David Stillwell, Martin E. P. Seligman, Lyle H. Ungar

Proceedings of the Analyzing Microtext, 2013

2012

Penn: Using Word Similarities to better Estimate Sentence Similarity.

Sneha Jha, Hansen Andrew Schwartz, Lyle H. Ungar

Proceedings of the 6th International Workshop on Semantic Evaluation, 2012

Improving Supervised Sense Disambiguation with Web-Scale Selectors.

Hansen Andrew Schwartz, Fernando Gomez, Lyle H. Ungar

Proceedings of the COLING 2012, 2012

New Insights from Coarse Word Sense Disambiguation in the Crowd.

Adam Kapelner, Krishna Kaliannan, Hansen Andrew Schwartz, Lyle H. Ungar, Dean P. Foster

Proceedings of the COLING 2012, 2012

2011

Evaluating Semantic Metrics on Tasks of Concept Similarity.

Hansen Andrew Schwartz, Fernando Gomez

Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

2010

UCF-WS: Domain Word Sense Disambiguation Using Web Selectors.

Hansen Andrew Schwartz, Fernando Gomez

Proceedings of the 5th International Workshop on Semantic Evaluation, 2010

2009

Linguistic Text Mining for Problem Reports.

Jane T. Malin, David Rutherford Throop, Christopher Millward, Fernando Gomez, Carroll Thronesbery, Hansen Andrew Schwartz

Proceedings of the IEEE International Conference on Systems, 2009

Using Web Selectors for the Disambiguation of All Words.

Hansen Andrew Schwartz, Fernando Gomez

Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions, 2009

2008

A Semantic Feature for Verbal Predicate and Semantic Role Labeling Using SVMs.

Hansen Andrew Schwartz, Fernando Gomez, Christopher Millward

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Acquiring Knowledge from the Web to be used as Selectors for Noun Sense Disambiguation.

Hansen Andrew Schwartz, Fernando Gomez

Proceedings of the Twelfth Conference on Computational Natural Language Learning, 2008