HealthE: Classifying Entities in Online Textual Health Advice. - Joseph Gatto; Parker Seegmiller; Garrett Johnston; Sarah Masud Preum (CoRR, 2022)

Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings. - Parker Seegmiller; Sarah Preum (EMNLP, 2023)

The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints. - Parker Seegmiller; Joseph Gatto; Madhusudan Basak; Diane J. Cook; Hassan Ghasemzadeh 001; John A. Stankovic; Sarah Preum (ICHI, 2023)

HealthE: Recognizing Health Advice & Entities in Online Health Communities. - Joseph Gatto; Parker Seegmiller; Garrett M. Johnston; Madhusudan Basak; Sarah Masud Preum (ICWSM, 2023)

ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence. - Parker Seegmiller; Joseph Gatto; Abdullah Mamun; Hassan Ghasemzadeh 001; Diane J. Cook; John A. Stankovic; Sarah Masud Preum (CoRR, 2023)

Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity. - Joseph Gatto; Omar Sharif; Parker Seegmiller; Philip Bohlman; Sarah Masud Preum (CoRR, 2023)

Mad Libs Are All You Need: Augmenting Cross-Domain Document-Level Event Argument Data. - Joseph Gatto; Parker Seegmiller; Omar Sharif; Sarah Masud Preum (CoRR, 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 (CoRR, 2024)

Depth F1: Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability. - Parker Seegmiller; Joseph Gatto; Sarah Masud Preum (CoRR, 2024)

In-Context Learning for Preserving Patient Privacy: A Framework for Synthesizing Realistic Patient Portal Messages. - Joseph Gatto; Parker Seegmiller; Timothy E. Burdick; Sarah Masud Preum (CoRR, 2024)

Follow-up Question Generation For Enhanced Patient-Provider Conversations. - Joseph Gatto; Parker Seegmiller; Timothy E. Burdick; Inas S. Khayal; Sarah DeLozier; Sarah Masud Preum (ACL (1), 2025)

Document-Level Event-Argument Data Augmentation for Challenging Role Types. - Joseph Gatto; Omar Sharif; Parker Seegmiller; Sarah Masud Preum (ACL (1), 2025)