HLAB Publications
Explore peer-reviewed articles, workshop papers, preprints, and theses authored by HLAB members and collaborators. Use the search field to filter by title, author, venue, or keyword.
155 publications
Varadarajan, Vasudha, Giorgi, Salvatore, Mangalik, Siddharth, Soni, Nikita, Markowitz, Dave M, Schwartz, H Andrew (2025) The Consistent Lack of Variance of Psychological Factors Expressed by LLMs and Spambots. Best Paper -- Proceedings of the 1stWorkshop on GenAI Content Detection (GenAIDetect) pp. 111--119
Lahnala, Allison, Varadarajan, Vasudha, Flek, Lucie, Schwartz, H Andrew, Boyd, Ryan L (2025) Unifying the Extremes: Developing a Unified Model for Detecting and Predicting Extremist Traits and Radicalization. arXiv preprint arXiv:2501.04820
Rao, Rajath, Ganesan, Adithya, Kjell, Oscar, Luby, Jonah, Raghavan, Akshay, Feltman, Scott, Ringwald, Whitney, Boyd, Ryan L, Luft, Benjamin, Ruggero, Camilo, Schwartz, H. Andrew (2025) WhiSPA: Semantically and Psychologically Aligned Whisper with Self-Supervised Contrastive and Student-Teacher Learning. arXiv preprint arXiv:2501.16344
Varadarajan, Vasudha, Sikström, Sverker, Kjell, Oscar, Schwartz, H (2024) ALBA: Adaptive Language-Based Assessments for Mental Health. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) pp. 2466--2478
Varadarajan, Vasudha, Lahnala, Allison, Ganesan, Adithya V, Dey, Gourab, Mangalik, Siddharth, Bucur, Ana-Maria, Soni, Nikita, Rao, Rajath, Lanning, Kevin, Vallejo, Isabella, others (2024) Archetypes and entropy: theory-driven extraction of evidence for suicide risk. Proceedings of the 9th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2024) pp. 278--291
Kjell, Oscar NE, Kjell, Katarina, Schwartz, H Andrew (2024) Beyond rating scales: With targeted evaluation, large language models are poised for psychological assessment. Psychiatry Research 333. pp. 115667. Elsevier
Soni, Nikita, Balasubramanian, Niranjan, Schwartz, H, Hovy, Dirk (2024) Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?. Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis pp. 316--328
Ringwald, Whitney R, Feltman, Scott, Schwartz, H Andrew, Samaras, Dimitris, Khudari, Christopher, Luft, Benjamin J, Kotov, Roman (2024) Day-to-day dynamics of facial emotion expressions in posttraumatic stress disorder. OSF OSF
Ganesan, Adithya V, Varadarajan, Vasudha, Lal, Yash Kumar, Eijsbroek, Veerle C, Kjell, Katarina, Kjell, Oscar NE, Dhanasekaran, Tanuja, Stade, Elizabeth C, Eichstaedt, Johannes C, Boyd, Ryan L, others (2024) Explaining GPT-4's Schema of Depression Using Machine Behavior Analysis. arXiv preprint arXiv:2411.13800
Ganesan, Adithya V, Mangalik, Siddharth, Varadarajan, Vasudha, Soni, Nikita, Juhng, Swanie, Sedoc, Joao, Schwartz, H Andrew, Giorgi, Salvatore, Boyd, Ryan L (2024) From Text to Context: Contextualizing Language with Humans, Groups, and Communities for Socially Aware NLP. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 5: Tutorial Abstracts) pp. 26--33
Nilsson, August H\aakan, Schwartz, Hansen Andrew, Rosenthal, Richard N, McKay, James R, Vu, Huy, Cho, Young-Min, Mahwish, Syeda, Ganesan, Adithya V, Ungar, Lyle (2024) Language-based EMA assessments help understand problematic alcohol consumption. Plos one 19. (3). pp. e0298300. Public Library of Science San Francisco, CA USA
Soni, Nikita, Schwartz, H, Sedoc, Joao, Balasubramanian, Niranjan (2024) Large Human Language Models: A Need and the Challenges. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) pp. 8623--8638
Stade, Elizabeth C, Stirman, Shannon Wiltsey, Ungar, Lyle H, Boland, Cody L, Schwartz, H Andrew, Yaden, David B, Sedoc, Joao, DeRubeis, Robert J, Willer, Robb, Eichstaedt, Johannes C (2024) Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation. NPJ Mental Health Research 3. (1). pp. 12. Nature Publishing Group UK London
Soni, Nikita, Flek, Lucie, Sharma, Ashish, Yang, Diyi, Hooker, Sara, Schwartz, H Andrew (2024) Proceedings of the 1st Human-Centered Large Language Modeling Workshop. Proceedings of the 1st Human-Centered Large Language Modeling Workshop
Vu, Huy, Nguyen, Huy Anh, Ganesan, Adithya V, Juhng, Swanie, Kjell, Oscar NE, Sedoc, Joao, Kern, Margaret L, Boyd, Ryan L, Ungar, Lyle, Schwartz, H Andrew, others (2024) PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health. arXiv preprint arXiv:2412.16882
Giorgi, Salvatore, Jones, Jason Jeffrey, Buffone, Anneke, Eichstaedt, Johannes C, Crutchley, Patrick, Yaden, David B, Elstein, Jeanette, Zamani, Mohammadzaman, Kregor, Jennifer, Smith, Laura, others (2024) Quantifying generalized trust in individuals and counties using language. Frontiers in Social Psychology 2. pp. 1384262. Frontiers Media SA
Dey, Gourab, V Ganesan, Adithya, Lal, Yash Kumar, Shah, Manal, Sinha, Shreyashee, Matero, Matthew, Giorgi, Salvatore, Kulkarni, Vivek, Schwartz, H. Andrew (2024) SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers) pp. 454--468
Jose, Rupa, Wang, Weixi, Sherman, Garrick, Rosenthal, Richard N, Schwartz, H Andrew, Ungar, Lyle H, McKay, James R (2024) Tapping into alcohol use during COVID: Drinking correlates among bartenders and servers. PLoS one 19. (4). pp. e0300932. Public Library of Science San Francisco, CA USA
Eijsbroek, Veerle C, Kjell, Katarina, Schwartz, H Andrew, Boehnke, Jan R, Fried, Eiko I, Klein, Daniel N, Gustafsson, Peik, Augenstein, Isabelle, Bossuyt, Patrick MM, Kjell, Oscar NE (2024) The LEADING guideline: Reporting standards for expert panel, best-estimate diagnosis, and longitudinal expert all data (LEAD) studies. MedRxiv
Ward, George, Schwartz, H Andrew, Giorgi, Salvatore, Menges, Jochen I, Matz, Sandra C (2024) The role of negative affect in shaping populist support: Converging field evidence from across the globe.. American Psychologist American Psychological Association
Matero, Matthew, Vu, Huy, Nilsson, August, Mahwish, Syeda, Cho, Young Min, McKay, James, Eichstaedt, Johannes, Rosenthal, Richard, Ungar, Lyle, Schwartz, H Andrew (2024) Using daily language to understand drinking: Multi-level longitudinal differential language analysis. Proceedings of the 9th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2024) pp. 133--144
Giorgi, Salvatore, Markowitz, David M, Soni, Nikita, Varadarajan, Vasudha, Mangalik, Siddharth, Schwartz, H Andrew (2023) " I Slept Like a Baby": Using Human Traits To Characterize Deceptive ChatGPT and Human Text.. Proceedings of IACT at SIGIR-2023 pp. 23--37
Yaden, David B, Giorgi, Salvatore, Jordan, Matthew, Buffone, Anneke, Eichstaedt, Johannes C, Schwartz, H Andrew, Ungar, Lyle, Bloom, Paul (2023) Characterizing empathy and compassion using computational linguistic analysis.. Emotion
Levanti, Danielle, Monastero, Rebecca N, Zamani, Mohammadzaman, Eichstaedt, Johannes C, Giorgi, Salvatore, Schwartz, H Andrew, Meliker, Jaymie R (2023) Depression and Anxiety on Twitter During the COVID-19 Stay-At-Home Period in 7 Major US Cities. American Journal of Public Medicine: Focus 2. (1). pp. 100062. Elsevier
Juhng, Swanie, Matero, Matthew, Varadarajan, Vasudha, Eichstaedt, Johannes, Ganesan, Adithya V, Schwartz, H Andrew (2023) Discourse-level representations can improve prediction of degree of anxiety. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) pp. 1500--1511
Juhng, Swanie, Matero, Matthew, Varadarajan, Vasudha, Eichstaedt, Johannes C, Ganesan, Adithya V, Schwartz, H Andrew (2023) Discourse-Level Representations can Improve Prediction of Degree of Anxiety. The 61st Annual Meeting Of The Association For Computational Linguistics
Giorgi, Salvatore, Eichstaedt, Johannes C, Preo\ctiuc-Pietro, Daniel, Gardner, Jacob R, Schwartz, H Andrew, Ungar, Lyle H (2023) Filling in the white space: Spatial interpolation with Gaussian processes and social media data. Current research in ecological and social psychology 5. pp. 100159. Elsevier
Oltmanns, Joshua R, Schwartz, H Andrew, Ruggero, Camilo, Son, Youngseo, Vu, Huy, Gill, Gilvir, Miao, Jiaju, Waszczuk, Monika, Clouston, Sean, Bromet, Evelyn, others (2023) Incremental Validity of Language-Based Assessments of Personality in World Trade Center Responders. OSF OSF
Matero, Matthew, Giorgi, Salvatore, Curtis, Brenda, Ungar, Lyle H, Schwartz, H Andrew (2023) Opioid death projections with AI-based forecasts using social media language. NPJ Digital Medicine 6. (1). pp. 35. Nature Publishing Group UK London
Giorgi, Salvatore, Yaden, David B, Eichstaedt, Johannes C, Ungar, Lyle H, Schwartz, H Andrew, Kwarteng, Amy, Curtis, Brenda (2023) Predicting US county opioid poisoning mortality from multi-modal social media and psychological self-report data. Scientific reports 13. (1). pp. 9027. Nature Publishing Group UK London
Giorgi, Salvatore, Havaldar, Shreya, Ahmed, Farhan, Akhtar, Zuhaib, Vaidya, Shalaka, Pan, Gary, Ungar, Lyle H, Schwartz, H Andrew, Sedoc, Joao (2023) Psychological metrics for dialog system evaluation. arXiv preprint arXiv:2305.14757
Ganesan, Adithya V, Lal, Yash Kumar, Nilsson, August, Schwartz, H (2023) Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation. The 61st Annual Meeting Of The Association For Computational Linguistics
Kjell, Oscar, Giorgi, Salvatore, Schwartz, H Andrew (2023) The text-package: An R-package for analyzing and visualizing human language using natural language processing and transformers.. Psychological Methods American Psychological Association
Varadarajan, Vasudha, Juhng, Swanie, Mahwish, Syeda, Liu, Xiaoran, Luby, Jonah, Luhmann, Christian, Schwartz, H. Andrew (2023) Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics 1. pp. 11923--11936
Kjell, Oscar, Kjell, Katarina, Schwartz, H Andrew (2023) With Care for Validity AI-based Large Language Models are Poised to Transform Psychological Health Assessment. PsyArXiv PsyArXiv
Giorgi, Salvatore, Lynn, Veronica, Gupta, Keshav, Ahmed, Farhan, Matz, Sandra, Ungar, Lyle, Schwartz, H Andrew (2022) Correcting Sociodemographic Selection Biases for Population Prediction from Social Media. ICWSM-2022: AAAI International Conference on the Web and Social Media
Varadarajan, Vasudha, Soni, Nikita, Wang, Weixi, Luhmann, Christian, Schwartz, H Andrew, Inoue, Naoya (2022) Detecting Dissonant Stance in Social Media: The Role of Topic Exposure. Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+ CSS) pp. 151--156
Soni, Nikita, Matero, Matthew, Balasubramanian, Niranjan, Schwartz, H Andrew (2022) Human language modeling. arXiv preprint arXiv:2205.05128
Liu, Tingting, Giorgi, Salvatore, Yadeta, Kenna, Schwartz, H Andrew, Ungar, Lyle H, Curtis, Brenda (2022) Linguistic predictors from Facebook postings of substance use disorder treatment retention versus discontinuation. The American Journal of Drug and Alcohol Abuse 48. (5). pp. 573--585. Taylor & Francis
Vu, Huy, Giorgi, Salvatore, Clifton, Jeremy DW, Balasubramanian, Niranjan, Schwartz, H Andrew (2022) Modeling Latent Dimensions of Human Beliefs. Proceedings of the International AAAI Conference on Web and Social Media 16. pp. 1064--1074
Kjell, Oscar NE, Sikström, Sverker, Kjell, Katarina, Schwartz, H Andrew (2022) Natural language analyzed with AI-based transformers predict traditional subjective well-being measures approaching the theoretical upper limits in accuracy. Scientific reports 12. (1). pp. 3918. Nature Publishing Group UK London
Hawes, Mariah T, Schwartz, H Andrew, Son, Youngseo, Klein, Daniel N (2022) Predicting adolescent depression and anxiety from multi-wave longitudinal data using machine learning. Psychological Medicine pp. 1--7. Cambridge University Press
Pasquini, Giancarlo, Ferguson, Giselle, Bouklas, Isabella, Vu, Huy, Zamani, Mohammadzaman, Zhaoyang, Ruixue, Harrington, Karra D, Roque, Nelson A, Mogle, Jacqueline, Schwartz, H Andrew, others (2022) The where and when of COVID-19: Using ecological and Twitter-based assessments to examine impacts in a temporal and community context. Plos one 17. (2). pp. e0264280. Public Library of Science San Francisco, CA USA
Matero, Matthew, Hung, Albert, Schwartz, H (2022) Understanding BERT’s Mood: The Role of Contextual-Embeddings as User-Representations for Depression Assessment. Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis pp. 89--94
Jose, Rupa, Matero, Matthew, Sherman, Garrick, Curtis, Brenda, Giorgi, Salvatore, Schwartz, Hansen Andrew, Ungar, Lyle H (2022) Using Facebook language to predict and describe excessive alcohol use. Alcoholism: Clinical and Experimental Research 46. (5). pp. 836--847
Ganesan, Adithya V, Varadarajan, Vasudha, Mittal, Juhi, Subrahmanya, Shashanka, Matero, Matthew, Soni, Nikita, Guntuku, Sharath Chandra, Eichstaedt, Johannes, Schwartz, H Andrew (2022) WWBP-SQT-lite: Multi-level Models and Difference Embeddings for Moments of Change Identification in Mental Health Forums. Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology pp. 251--258
“Ray” Zhang, Mingrui, Wen, He, Cui, Wenzhe, Zhu, Suwen, Andrew Schwartz, H, Bi, Xiaojun, Wobbrock, Jacob O (2021) AI-Driven Intelligent Text Correction Techniques for Mobile Text Entry. Artificial Intelligence for Human Computer Interaction: A Modern Approach pp. 131--168. Springer International Publishing
Oltmanns, Joshua R, Schwartz, H Andrew, Ruggero, Camilo, Son, Youngseo, Miao, Jiaju, Waszczuk, Monika, Clouston, Sean, Bromet, Evelyn, Luft, Benjamin, Kotov, Roman (2021) Artificial Intelligence Language Predictors of Two-Year Trauma-Related Outcomes. PsyArXiv PsyArXiv
Giorgi, Salvatore, Ungar, Lyle, Schwartz, H Andrew (2021) Characterizing Social Spambots by their Human Traits. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 pp. 5148--5158
Zamani, Mohammadzaman, Schwartz, H. Andrew (2021) Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the Ordinary. WWW 2021: The 30th Annual Meeting of The Web Conference
Son, Youngseo, Schwartz, H Andrew (2021) Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media. arXiv preprint arXiv:2105.01306
Ganesan, Adithya V, Matero, Matthew, Ravula, Aravind Reddy, Vu, Huy, Schwartz, H Andrew (2021) Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality. ACL-2021: The Annual Meeting of the Association for Computational Linguistics
Matero, Matthew, Soni, Nikita, Balasubramanian, Niranjan, Schwartz, H Andrew (2021) MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection. EMNLP-Findgins-2021: Proceedings of the 2021 Conference on Findings of Empirical Method of Natural Language Processing
Kjell, Oscar, Sikström, Sverker, Kjell, Katarina, Schwartz, H Andrew (2021) Natural Language Analyzed with AI-based Transformers Predict Traditional Well-Being Measures Approaching the Theoretical Upper Limits in Accuracy. PsyArXiv PsyArXiv
Ji, Tianchu, Jain, Shraddhan, Ferdman, Michael, Milder, Peter, Schwartz, H Andrew, Balasubramanian, Niranjan (2021) On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers. ACL-Findings-2021
Kjell, Oscar, Schwartz, H Andrew, Giorgi, Salvatore (2021) Text: an R-package for analyzing and visualizing human language using natural language processing and deep learning. PsyArXiv PsyArXiv
Giorgi, Salvatore, Guntuku, Sharath Chandra, Eichstaedt, Johannes C, Pajot, Claire, Schwartz, H Andrew, Ungar, Lyle H (2021) Well-Being Depends on Social Comparison: Hierarchical Models of Twitter Language Suggest That Richer Neighbors Make You Less Happy. ICWSM-2021: Proceedings of the International AAAI Conference on Web and Social Media 15. pp. 1069--1074
Son, Youngseo, Clouston, Sean AP, Kotov, Roman, Eichstaedt, Johannes C, Bromet, Evelyn J, Luft, Benjamin J, Schwartz, H Andrew (2021) World Trade Center responders in their own words: Predicting PTSD symptom trajectories with AI-based language analyses of interviews. Psychological Medicine
Matero, Matthew, Schwartz, H Andrew (2020) Autoregressive Affective Language Forecasting: A Self-Supervised Task. Proceedings of the 28th International Conference on Computational Linguistics pp. 2913--2923
Eichstaedt, Johannes C, Kern, Margaret L, Yaden, David B, Schwartz, HA, Giorgi, Salvatore, Park, Gregory, Hagan, Courtney A, Tobolsky, Victoria, Smith, Laura K, Buffone, Anneke, others (2020) Closed-and Open-Vocabulary Approaches to Text Analysis: A Review, Quantitative Comparison, and Recommendations. Psychological Methods
Giorgi, Salvatore, Yaden, David B, Eichstaedt, Johannes C, Ashford, Robert D, Buffone, Anneke EK, Schwartz, H Andrew, Ungar, Lyle H, Curtis, Brenda (2020) Cultural differences in Tweeting about drinking across the US. International journal of environmental research and public health 17. (4). pp. 1125. Multidisciplinary Digital Publishing Institute
Santosh, Roshan, Schwartz, H, Eichstaedt, Johannes, Ungar, Lyle, Guntuku, Sharath Chandra (2020) Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings. Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020
Pongiglione, Benedetta, Kern, Margaret L, Carpentieri, J D, Schwartz, H Andrew, Gupta, Neelaabh, Goodman, Alissa (2020) Do children’s expectations about future physical activity predict their physical activity in adulthood?. International Journal of Epidemiology (dyaa131). IEA
Jaidka, Kokil, Giorgi, Salvatore, Schwartz, H Andrew, Kern, Margaret L, Ungar, Lyle H, Eichstaedt, Johannes C (2020) Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods. Proceedings of the National Academy of Sciences 117. (19). pp. 10165--10171. National Academy of Sciences
Lynn, Veronica, Balasubramanian, Niranjan, Schwartz, H Andrew (2020) Hierarchical modeling for user personality prediction: The role of message-level attention. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics pp. 5306--5316
Jaidka, Kokil, Eichstaedt, Johannes, Giorgi, Salvatore, Schwartz, H Andrew, Efron, Niv, Ungar, Lyle H (2020) Information-seeking vs. sharing: Which explains regional health? An analysis of Google Search and Twitter trends. Telematics and Informatics pp. 101540. Pergamon
Cui, Wenzhe, Zhu, Suwen, Zhang, Mingrui Ray, Schwartz, H Andrew, Wobbrock, Jacob O, Bi, Xiaojun (2020) JustCorrect: Intelligent Post Hoc Text Correction Techniques on Smartphones. Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology pp. 487--499
Buechel, Sven, Sedoc, Joao, Schwartz, H Andrew, Ungar, Lyle (2020) Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations. Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media pp. 129--139
Yaden, M, Yaden, D, Buffone, A, Eichstaedt, J, Crutchley, P, Smith, L, Cass, J, Callahan, C, Rosenthal, S, Ungar, L, others (2020) Linguistic analysis of empathy in medical school admission essays.. International Journal of Medical Education 11. pp. 186--190
Boyd, Ryan L, Schwartz, H Andrew (2020) Natural language analysis and the psychology of verbal behavior: The past, present, and future states of the field. Journal of Language and Social Psychology pp. 0261927X20967028. SAGE Publications Sage CA: Los Angeles, CA
Shah, Deven Santosh, Schwartz, H. Andrew, Hovy, Dirk (2020) Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL-2020). pp. 5248--5264
Abebe, Rediet, Giorgi, Salvatore, Tedijanto, Anna, Buffone, Anneke, Schwartz, H Andrew (2020) Quantifying Community Characteristics of Maternal Mortality Using Social Media. Proceedings of The Web Conference 2020 (WWW-2020) pp. 2976--2983
Greenberg, David M, Matz, Sandra C, Schwartz, H Andrew, Fricke, Kai R (2020) The self-congruity effect of music.. Journal of Personality and Social Psychology American Psychological Association
Zamani, Mohammadzaman, Schwartz, H Andrew, Eichstaedt, Johannes, Guntuku, Sharath Chandra, Ganesan, Adithya Virinchipuram, Clouston, Sean, Giorgi, Salvatore (2020) Understanding Weekly COVID-19 Concerns through Dynamic Content-Specific LDA Topic Modeling. Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science pp. 193--198
Griffis, Heather, Asch, David A, Schwartz, H Andrew, Ungar, Lyle, Buttenheim, Alison M, Barg, Frances K, Mitra, Nandita, Merchant, Raina M (2020) Using social media to track geographic variability in language about diabetes: Infodemiology analysis. JMIR diabetes 5. (1). pp. e14431. JMIR Publications Inc., Toronto, Canada
Guntuku, Sharath Chandra, Schwartz, H Andrew, Kashyap, Adarsh, Gaulton, Jessica S, Stokes, Daniel C, Asch, David A, Ungar, Lyle H, Merchant, Raina M (2020) Variability in language used on social media prior to hospital visits. Scientific reports 10. (1). pp. 1--9. Nature Publishing Group
Giorgi, Salvatore, Lynn, Veronica, Matz, Sandra, Ungar, Lyle, Schwartz, H Andrew (2019) Correcting sociodemographic selection biases for accurate population prediction from social media. arXiv preprint arXiv:1911.03855
Merchant, Raina M, Asch, David A, Crutchley, Patrick, Ungar, Lyle H, Guntuku, Sharath C, Eichstaedt, Johannes C, Hill, Shawndra, Padrez, Kevin, Smith, Robert J, Schwartz, H Andrew (2019) Evaluating the predictability of medical conditions from social media posts. PLoS One 14. (6). pp. e0215476. Public Library of Science
Matz, Sandra C, Menges, Jochen I, Stillwell, David J, Schwartz, H Andrew (2019) Predicting individual-level income from Facebook profiles. PloS one 14. (3). pp. e0214369. Public Library of Science
Matero, Matthew, Idnani, Akash, Son, Youngseo, Giorgi, Sal, Vu, Huy, Zamani, Mohammad, Limbachiya, Parth, Guntuku, Sharath Chandra, Schwartz, H Andrew (2019) Suicide Risk Assessment with Multi-level Dual-Context Language and BERT. Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology pp. 39--44
Sun, Jessie, Schwartz, H Andrew, Son, Youngseo, Kern, Margaret L, Vazire, Simine (2019) The Language of Well-Being: Tracking Fluctuations in Emotion Experience through Everyday Speech. Journal of Personality and Social Psychology American Psychological Association
Hill, Shawndra, Colas, Anthony, Schwartz, H Andrew, Burtch, Gordon (2019) TV Ad Events and Digital Search: On the Selection of Outcome Measures. 2019 IEEE International Conference on Big Data (Big Data) pp. 3518--3528
Lynn, Veronica, Giorgi, Salvatore, Balasubramanian, Niranjan, Schwartz, H Andrew (2019) Tweet Classification without the Tweet: An Empirical Examination of User versus Document Attributes. Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science pp. 18--28
Abebe, Rediet, Hill, Shawndra, Vaughan, Jennifer Wortman, Small, Peter M, Schwartz, H Andrew (2019) Using Search Queries to Understand Health Information Needs in Africa. Proceedings of the Thirteenth International Conference on Web and Social Media 13(1)
Curtis, Brenda, Giorgi, Salvatore, Buffone, Anneke EK, Ungar, Lyle H, Ashford, Robert D, Hemmons, Jessie, Summers, Dan, Hamilton, Casey, Schwartz, H Andrew (2018) Can Twitter be used to predict county excessive alcohol consumption rates?. PloS one 13. (4). pp. e0194290. Public Library of Science
Son, Youngseo, Bayas, Nipun, Schwartz, H Andrew (2018) Causal Explanation Analysis on Social Media. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. pp. 350--3359
Lynn, Veronica, Goodman, Alissa, Niederhoffer, Kate, Loveys, Kate, Resnik, Philip, Schwartz, H Andrew (2018) CLPsych 2018 Shared Task: Predicting Current and Future Psychological Health from Childhood Essays. Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic pp. 37--46
Eichstaedt, Johannes C, Smith, Robert J, Merchant, Raina M, Ungar, Lyle H, Crutchley, Patrick, Preo\ctiuc-Pietro, Daniel, Asch, David A, Schwartz, H Andrew (2018) Facebook language predicts depression in medical records. Proceedings of the National Academy of Sciences 115. (44). pp. 11203--11208. National Academy of Sciences
Jaidka, Kokil, Guntuku, Sharath Chandra, Buffone, Anneke, Schwartz, H Andrew, Ungar, Lyle H (2018) Facebook vs. Twitter: Cross-Platform Differences in Self-disclosure and Trait Prediction.
Rouhizadeh, Masoud, Jaidka, Kokil, Smith, Laura, Schwartz, H Andrew, Buffone, Anneke, Ungar, Lyle (2018) Identifying Locus of Control in Social Media Language. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing pp. 1146--1152
Kulkarni, Vivek, Kern, Margaret L, Stillwell, David, Kosinski, Michal, Matz, Sandra, Ungar, Lyle, Skiena, Steven, Schwartz, H Andrew (2018) Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach. PLoS One
Buechel, Sven, Sedoc, Joao, Schwartz, H Andrew, Ungar, Lyle (2018) Learning Neural Emotion Analysis from 100 Observations: The Surprising Effectiveness of Pre-Trained Word Representations. arXiv preprint arXiv:1810.10949
Eichstaedt, J, Schwartz, H Andrew, Giorgi, Salvatore, Kern, Margaret L, Park, Gregory, Sap, Maarten, Labarthe, Darwin R, Larson, Emily E, Seligman, Martin, Ungar, Lyle H, others (2018) More Evidence that Twitter Language Predicts Heart Disease: A Response and Replication. PsyArXiv PsyArXiv
Zamani, Mohammadzaman, Buffone, Anneke, Schwartz, H Andrew (2018) Predicting Human Trustfulness from Facebook Language. Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic pp. 174--181
Clifton, Jeremy DW, Baker, Joshua D, Park, Crystal L, Yaden, David B, Clifton, Alicia BW, Terni, Paolo, Miller, Jessica L, Zeng, Guang, Giorgi, Salvatore, Schwartz, H Andrew, others (2018) Primal world beliefs.. Psychological assessment
Zamani, Mohammadzaman, Schwartz, H Andrew, Lynn, Veronica E, Giorgi, Salvatore, Balasubramanian, Niranjan (2018) Residualized Factor Adaptation for Community Social Media Prediction Tasks. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing pp. 3560--3569
Giorgi, Salvatore, Preotiuc-Pietro, Daniel, Buffone, Anneke, Rieman, Daniel, Ungar, Lyle H, Schwartz, H Andrew (2018) The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processin pp. 1167--1172
Schwartz, H Andrew, Rouhizadeh, Masoud, Bishop, Michael, Tetlock, Philip, Mellers, Barbara, Ungar, Lyle (2017) Assessing Objective Recommendation Quality through Political Forecasting. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing pp. 2348--2357
Youyou, Wu, Stillwell, David, Schwartz, H Andrew, Kosinski, Michal (2017) Birds of a feather do flock together: behavior-based personality-assessment method reveals personality similarity among couples and friends. Psychological science 28. (3). pp. 276--284. SAGE Publications Sage CA: Los Angeles, CA
Schwartz, H Andrew, Giorgi, Salvatore, Sap, Maarten, Crutchley, Patrick, Ungar, Lyle, Eichstaedt, Johannes (2017) DLATK: Differential Language Analysis ToolKit. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations pp. 55--60
Rieman, Daniel, Jaidka, Kokil, Schwartz, H Andrew, Ungar, Lyle (2017) Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions. Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers) 1. pp. 764--773
Lynn, Veronica, Son, Youngseo, Kulkarni, Vivek, Balasubramanian, Niranjan, Schwartz, H Andrew (2017) Human Centered NLP with User-Factor Adaptation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing pp. 1146--1155
Almodaresi, Fatemeh, Ungar, Lyle, Kulkarni, Vivek, Zakeri, Mohsen, Giorgi, Salvatore, Schwartz, H Andrew (2017) On the Distribution of Lexical Features at Multiple Levels of Analysis. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) 2. pp. 79--84
Son, Youngseo, Buffone, Anneke, Raso, Joe, Larche, Allegra, Janocko, Anthony, Zembroski, Kevin, Schwartz, H Andrew, Ungar, Lyle (2017) Recognizing Counterfactual Thinking in Social Media Texts. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) 2. pp. 654--658
Carpenter, Jordan, Crutchley, Patrick, Zilca, Ran D, Schwartz, H Andrew, Smith, Laura K, Cobb, Angela M, Parks, Acacia C (2017) Seeing the" Big" Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data (vol 18, e241, 2016). Journal of Medical Internet Research 19. (12). JMIR PUBLICATIONS, INC 59 WINNERS CIRCLE, TORONTO, ON M4L 3Y7, CANADA
Yaden, David B, Eichstaedt, Johannes C, Kern, Margaret L, Smith, Laura K, Buffone, Anneke, Stillwell, David J, Kosinski, Michal, Ungar, Lyle H, Seligman, Martin EP, Schwartz, H Andrew (2017) The Language of Religious Affiliation: Social, Emotional, and Cognitive Differences. Social Psychological and Personality Science pp. 1948550617711228. SAGE Publications Sage CA: Los Angeles, CA
Yaden, David B, Le Nguyen, Khoa D, Kern, Margaret L, Wintering, Nancy A, Eichstaedt, Johannes C, Schwartz, H Andrew, Buffone, Anneke EK, Smith, Laura K, Waldman, Mark R, Hood Jr, Ralph W, others (2017) The noetic quality: A multimethod exploratory study.. Psychology of Consciousness: Theory, Research, and Practice 4. (1). pp. 54. US: Educational Publishing Foundation
Zamani, Mohammadzaman, Schwartz, H Andrew (2017) Using Twitter Language to Predict the Real Estate Market. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers 2. pp. 28--33
Smith, Robert J, Crutchley, Patrick, Schwartz, H Andrew, Ungar, Lyle, Shofer, Frances, Padrez, Kevin A, Merchant, Raina M (2017) Variations in facebook posting patterns across validated patient health conditions: A prospective cohort study. Journal of medical Internet research 19. (1). JMIR Publications Inc.
Smith, Laura, Giorgi, Salvatore, Solanki, Rishi, Eichstaedt, Johannes, Schwartz, H. Andrew, Abdul-Mageed, Muhammad, Buffone, Anneke, Ungar, Lyle (2016) Does ‘well-being’ translate on Twitter?. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing pp. 2042--2047
Kern, Margaret L, Park, Gregory, Eichstaedt, Johannes C, Schwartz, H Andrew, Sap, Maarten, Smith, Laura K, Ungar, Lyle H (2016) Gaining insights from social media language: Methodologies and challenges.. Psychological methods 21. (4). pp. 507. US: American Psychological Association
Preotiuc-Pietro, Daniel, Schwartz, H Andrew, Park, Gregory, Eichstaedt, Johannes C, Kern, Margaret, Ungar, Lyle, Shulman, Elizabeth P (2016) Modelling Valence and Arousal in Facebook posts. Proceedings of the Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), NAACL.
Schwartz, H ANDREW, Sap, MAARTEN, Kern, MARGARET L, Eichstaedt, JOHANNES C, Kapelner, ADAM, Agrawal, MEGHA, Blanco, EDUARDO, Dziurzynski, LUKASZ, Park, GREGORY, Stillwell, DAVID, others (2016) Predicting individual well-being through the language of social media. Biocomputing 2016: Proceedings of the Pacific Symposium pp. 516--527
Carpenter, Jordan, Crutchley, Patrick, Zilca, Ran D, Schwartz, H Andrew, Smith, Laura K, Cobb, Angela M, Parks, Acacia C (2016) Seeing the “big” picture: big data methods for exploring relationships between usage, language, and outcome in internet intervention data. Journal of medical Internet research 18. (8). JMIR Publications Inc.
Coppersmith, Glen, Hollingshead, Kristy, Schwartz, H Andrew, Ireland, Molly, Resnik, Rebecca, Loveys, Kate, Foreman, April, Ingraham, Loring (2016) The clinical panel: Leveraging psychological expertise during NLP research. Proceedings of the First Workshop on NLP and Computational Social Science pp. 132--137
Sinnenberg, Lauren, DiSilvestro, Christie L, Mancheno, Christina, Dailey, Karl, Tufts, Christopher, Buttenheim, Alison M, Barg, Fran, Ungar, Lyle, Schwartz, H, Brown, Dana, others (2016) Twitter as a potential data source for cardiovascular disease research. JAMA cardiology 1. (9). pp. 1032--1036. American Medical Association
Rouhizadeh, Masoud, Ungar, Lyle, Buffone, Anneke, Schwartz, H. Andrew (2016) Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing pp. 2054--2059
Ranard, Benjamin L, Werner, Rachel M, Antanavicius, Tadas, Schwartz, H Andrew, Smith, Robert J, Meisel, Zachary F, Asch, David A, Ungar, Lyle H, Merchant, Raina M (2016) What can Yelp teach us about measuring hospital quality?. Health affairs (Project Hope) 35. (4). pp. 697. NIH Public Access
Park, Gregory, Yaden, David Bryce, Schwartz, H. Andrew, Kern, Margaret L., Eichstaedt, Johannes C., Kosinski, Michael, Stillwell, David, Ungar, Lyle H., Seligman, Martin E. P. (2016) Women are Warmer but No Less Assertive than Men: Gender and Language on Facebook. PLoS ONE 11. (5). pp. e0155885
Ranard, Benjamin L, Werner, Rachel M, Antanavicius, Tadas, Schwartz, H Andrew, Smith, Robert J, Meisel, Zachary F, Asch, David A, Ungar, Lyle H, Merchant, Raina M (2016) Yelp Reviews Of Hospital Care Can Supplement And Inform Traditional Surveys Of The Patient Experience Of Care. Health Affairs 35. (4). pp. 697--705. Project HOPE-The People-to-People Health Foundation, Inc.
Ireland, Molly E, Chen, Qijia, Schwartz, H Andrew, Ungar, Lyle H, Albarracin, Dolores (2015) Action Tweets Linked to Reduced County-Level HIV Prevalence in the United States: Online Messages and Structural Determinants. AIDS and Behavior pp. 1--9. Springer US
Park, Gregory, Schwartz, H Andrew, Eichstaedt, Johannes C, Kern, Margaret L, Kosinski, Michal, Stillwell, David J, Ungar, Lyle H, Seligman, Martin EP (2015) Automatic personality assessment through social media language.. Journal of personality and social psychology 108. (6). pp. 934. American Psychological Association
Park, Gregory, Schwartz, H Andrew, Eichstaedt, Johannes C, Kern, Margaret L, Kosinski, Michal, Stillwell, David J, Ungar, Lyle H, Seligman, Martin EP (2015) Automatic personality assessment through social media language.. Journal of personality and social psychology 108. (6). pp. 934. American Psychological Association
Schwartz, H Andrew, Ungar, Lyle H (2015) Data-Driven Content Analysis of Social Media A Systematic Overview of Automated Methods. The ANNALS of the American Academy of Political and Social Science 659. (1). pp. 78--94. SAGE Publications
Schwartz, H Andrew, Park, Gregory J, Sap, Maarten, Weingarten, Evan, Eichstaedt, Johannes, Kern, Margaret L, Stillwell, David, Kosinski, Michal, Berger, Jonah, Seligman, Martin, others (2015) Extracting Human Temporal Orientation in Facebook Language. NAACL-2015: Conference of the North American Chapter of the Association for Computational Linguistics.
Ireland, Molly E, Schwartz, H Andrew, Chen, Qijia, Ungar, Lyle H, Albarrac\'\in, Dolores (2015) Future-oriented tweets predict lower county-level HIV prevalence in the United States.. Health Psychology 34. (S). pp. 1252. American Psychological Association
Padrez, Kevin A, Ungar, Lyle, Schwartz, Hansen Andrew, Smith, Robert J, Hill, Shawndra, Antanavicius, Tadas, Brown, Dana M, Crutchley, Patrick, Asch, David A, Merchant, Raina M (2015) Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department. BMJ quality & safety pp. bmjqs--2015. BMJ Publishing Group Ltd
Park, Gregory, Schwartz, H Andrew, Sap, Maarten, Kern, Margaret L, Weingarten, Evan, Eichstaedt, Johannes C, Berger, Jonah, Stillwell, David J, Kosinski, Michal, Ungar, Lyle H, others (2015) Living in the Past, Present, and Future: Measuring Temporal Orientation with Language. Journal of personality
Preotiuc-Pietro, Daniel, Sap, Maarten, Schwartz, H Andrew, Ungar, Lyle (2015) Mental illness detection at the World Well-Being Project for the CLPsych 2015 shared task. NAACL HLT 2015 pp. 40
Eichstaedt, Johannes C, Schwartz, Hansen Andrew, Kern, Margaret L, Park, Gregory, Labarthe, Darwin R, Merchant, Raina M, Jha, Sneha, Agrawal, Megha, Dziurzynski, Lukasz A, Sap, Maarten, others (2015) Psychological language on Twitter predicts county-level heart disease mortality. Psychological science 26. (2). pp. 159--169. SAGE Publications
Yaden, David B, Eichstaedt, Johannes C, Schwartz, H Andrew, Kern, Margaret L, Le Nguyen, Khoa D, Wintering, Nancy A, Hood Jr, Ralph W, Newberg, Andrew B (2015) The Language of Ineffability: Linguistic Analysis of Mystical Experiences.. Educational Publishing Foundation Educational Publishing Foundation
Preotiuc-Pietro, Daniel, Eichstaedt, Johannes, Park, Gregory, Sap, Maarten, Smith, Laura, Tobolsky, Victoria, Schwartz, H Andrew, Ungar, Lyle (2015) The role of personality, age and gender in tweeting about mental illnesses. NAACL HLT 2015 pp. 21
Wong, Charlene A, Sap, Maarten, Schwartz, H Andrew, Town, Robert, Baker, Tom, Ungar, Lyle, Merchant, Raina M (2015) Twitter sentiment predicts Affordable Care Act marketplace enrollment. Journal of medical Internet research 17. (2). JMIR Publications Inc.
Weeg, Christopher, Schwartz, H Andrew, Hill, Shawndra, Merchant, Raina M, Arango, Catalina, Ungar, Lyle (2015) Using Twitter to measure public discussion of diseases: a case study. JMIR Public Health and Surveillance 1. (1). pp. e6. JMIR Publications Inc., Toronto, Canada
Sap, Maarten, Park, Gregory, Eichstaedt, Johannes, Kern, Margaret, Stillwell, David, Kosinski, Michal, Ungar, Lyle, Schwartz, H. Andrew (2014) Developing Age and Gender Predictive Lexica over Social Media. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) pp. 1146--1151
Kern, Margaret L, Eichstaedt, Johannes C, Schwartz, H Andrew, Park, Gregory, Ungar, Lyle H, Stillwell, David J, Kosinski, Michal, Dziurzynski, Lukasz, Seligman, Martin EP (2014) From “Sooo excited!!!” to “So proud”: Using language to study development.. Developmental psychology 50. (1). pp. 178. American Psychological Association
Merchant, Raina M, Ha, Yoonhee P, Wong, Charlene A, Schwartz, H Andrew, Sap, Maarten, Ungar, Lyle H, Asch, David A (2014) The 2013 US government shutdown (\# Shutdown) and health: An emerging role for social media. American journal of public health 104. (12). pp. 2248--2250. American Public Health Association
Kern, Margaret L, Eichstaedt, Johannes C, Schwartz, H Andrew, Dziurzynski, Lukasz, Ungar, Lyle H, Stillwell, David J, Kosinski, Michal, Ramones, Stephanie M, Seligman, Martin EP (2014) The online social self an open vocabulary approach to personality. Assessment 21. (2). pp. 158--169. SAGE Publications
Schwartz, H Andrew, Eichstaedt, Johannes, Kern, Margaret L, Park, Gregory, Sap, Maarten, Stillwell, David, Kosinski, Michal, Ungar, Lyle (2014) Towards assessing changes in degree of depression through facebook. Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality pp. 118--125
Schwartz, H Andrew, Eichstaedt, Johannes C, Kern, Margaret L, Dziurzynski, Lukasz, Lucas, Richard E, Agrawal, Megha, Park, Gregory J, Lakshmikanth, Shrinidhi K, Jha, Sneha, Seligman, Martin EP, others (2013) Characterizing Geographic Variation in Well-Being Using Tweets.. 7th Annual AAAI International Conference on Web and Social Media (ICWSM-2013 13. pp. 583--591
Schwartz, H Andrew, Eichstaedt, Johannes, Dziurzynski, Lukasz, Blanco, Eduardo, Kern, Margaret L, Ramones, Stephanie, Seligman, Martin, Ungar, Lyle (2013) Choosing the right words: Characterizing and reducing error of the word count approach. Atlanta, Georgia, USA pp. 296
Schwartz, H Andrew, Eichstaedt, Johannes C, Kern, Margaret L, Dziurzynski, Lukasz, Ramones, Stephanie M, Agrawal, Megha, Shah, Achal, Kosinski, Michal, Stillwell, David, Seligman, Martin EP, others (2013) Personality, gender, and age in the language of social media: The open-vocabulary approach. PloS one 8. (9). pp. e73791. Public Library of Science
Schwartz, Hansen Andrew, Eichstaedt, Johannes C, Dziurzynski, Lukasz, Kern, Margaret L, Blanco, Eduardo, Kosinski, Michal, Stillwell, David, Seligman, Martin EP, Ungar, Lyle H (2013) Toward Personality Insights from Language Exploration in Social Media.. AAAI Spring Symposium: Analyzing Microtext
Schwartz, Hansen Andrew, Gomez, Fernando, Ungar, Lyle H (2012) Improving Supervised Sense Disambiguation with Web-Scale Selectors.. COLING pp. 2423--2440
Kapelner, Adam, Kaliannan, Krishna, Schwartz, Hansen Andrew, Ungar, Lyle H, Foster, Dean P (2012) New Insights from Coarse Word Sense Disambiguation in the Crowd.. COLING (Posters) pp. 539--548
Jha, Sneha, Schwartz, H Andrew, Ungar, Lyle H (2012) Penn: using word similarities to better estimate sentence similarity. Proceedings of the First Joint Conference on Lexical and Computational Semantics-Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation pp. 679--683
Schwartz, Hansen A, Gomez, Fernando (2011) Evaluating semantic metrics on tasks of concept similarity. Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches: Issues and Approaches pp. 324. IGI Global
Schwartz, Hansen A (2011) The Acquisition of Lexical Knowledge from the Web for Aspects of Semantic Interpretation. University of Central Florida Orlando, Florida
Schwartz, Hansen A, Gomez, Fernando (2010) UCF-WS: domain word sense disambiguation using web selectors. Proceedings of the 5th International Workshop on Semantic Evaluation pp. 392--395
Schwartz, Hansen A, Gomez, Fernando (2009) Acquiring applicable common sense knowledge from the web. Proceedings of the Workshop on Unsupervised and Minimally Supervised Learning of Lexical Semantics pp. 1--9
Malin, Jane T, Millward, Christopher, Schwartz, Hansen A, Gomez, Fernando, Throop, David R, Thronesbery, Carroll (2009) Linguistic text mining for problem reports. Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on pp. 1578--1583
Schwartz, Hansen A, Gomez, Fernando (2009) Using web selectors for the disambiguation of all words. Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions pp. 28--36
Schwartz, Hansen Andrew, Gomez, Fernando, Millward, Christopher (2008) A Semantic Feature for Verbal Predicate and Semantic Role Labeling Using SVMs.. FLAIRS Conference pp. 213--218
Schwartz, Hansen A, Gomez, Fernando (2008) Acquiring knowledge from the web to be used as selectors for noun sense disambiguation. Proceedings of the Twelfth Conference on Computational Natural Language Learning pp. 105--112
Schwartz, Hansen (2006) Evolving Chord Progressions as Neural Networks.
