Parker Seegmiller

According to our database, Parker Seegmiller authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

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

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

ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence.

Parker Seegmiller, Joseph Gatto, Abdullah Mamun, Hassan Ghasemzadeh, Diane J. Cook, John A. Stankovic, Sarah Masud Preum

CoRR, 2023

HealthE: Recognizing Health Advice & Entities in Online Health Communities.

Joseph Gatto, Parker Seegmiller, Garrett M. Johnston, Madhusudan Basak, Sarah Masud Preum

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 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, John A. Stankovic, Sarah Preum

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings.

Parker Seegmiller, Sarah Preum

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

HealthE: Classifying Entities in Online Textual Health Advice.

Joseph Gatto, Parker Seegmiller, Garrett Johnston, Sarah Masud Preum

CoRR, 2022