Publications
NLP
Mad Libs Are All You Need: Augmenting Cross-Domain Document-Level Event Argument Data (Joseph Gatto, Parker Seegmiller, Omar Sharif, Sarah M. Preum, Pre-Print 2024)
Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse (Joseph Gatto, Madhusudan Basak, Yash Srivastava, Philip Bohlman, Sarah M. Preum, Pre-Print 2024)
Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit (Parker Seegmiller, Joseph Gatto, Omar Sharif, Madhusudan Basak, Sarah Masud Preum, Pre-Print 2024)
Chain-of-Thought Embeddings for Stance Detection on Social Media (Gatto et al., EMNLP Findings 2023)
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity Joseph Gatto, Omar Sharif, Parker Seegmiller, Phillip Bohlman, and Sarah M. Preum. Accepted at EMNLP Workshop: Generation, Evaluation & Metrics (2023)
Scope of Pre-trained Language Models for Detecting Conflicting Health Information Joseph Gatto, Madhusudan Basak, and Sarah M. Preum. Proceedings of the International AAAI Conference on Web and Social Media (2023)
HealthE: Recognizing Health Advice & Entities in Online Health Communities Joseph Gatto, Parker Seegmiller, Garrett Johnston, and Sarah M. Preum. Proceedings of the International AAAI Conference on Web and Social Media (2023)
Not Enough Labeled Data? Just Add Semantics: A Data-Efficient Method for Inferring Online Health Texts Joseph Gatto, Sarah M. Preum (2023) [Pre-Print]
Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning–Based Solution (2022) Joseph Gatto, Parker Seegmiller, Garrett Johnston, and Sarah M. Preum. Journal of Medical Informatics (2022) -> Data
The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints. Seegmiller P, Gatto J, Basak M, Cook D, Ghasemzadeh H, Stankovic J, Preum SM. The 6th International Workshop on Health Natural Language Processing (HealthNLP 2023) (ICHI 2023 workshop).
ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence Seegmiller, P., Gatto, J., Mamun, A., Ghasemzadeh, H., Cook, D., Stankovic, J. and Preum, S.M., [preprint] (2023)
Theme-driven Keyphrase Extraction to Analyze Social Media Discourse Romano, W., Sharif, O., Basak, M., Gatto, J. and Preum, S., 2023
Robotics
- A Hierarchical Multi-ASV Control System Framework for Adversarial ASV Detainment. Jeong, M., Blanchet, J., Gatto, J., & Li, A. Q. DMMAS Workshop at IROS 2022.
- Virtual IR Sensing for Planetary Rovers: Improved Terrain Classification and Thermal Inertia Estimation (2020) Yumi Iwashita, Kazuto Nakashima, Joseph Gatto, Shoya Higa, Adrian Stoica, Norris Khoo and Ryo Kurazume
Undergrad Thesis
- Single sample feature importance: an interpretable algorithm for low-level feature analysis Gatto, J., Lanka, R., Iwashita, Y. and Stoica, A., 2019