Joseph Gatto

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Top Venues

IEEE Robotics Autom. Lett.

Publications

Joseph Gatto, Madhusudan Basak, Yash Srivastava, Philip Bohlman, Sarah Masud Preum
Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse. CoRR (2024)
Parker Seegmiller, Joseph Gatto, Sarah Masud Preum
: Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability. CoRR (2024)
William Romano, Omar Sharif, Madhusudan Basak, Joseph Gatto, Sarah Masud Preum
Theme-Driven Keyphrase Extraction to Analyze Social Media Discourse. ICWSM (2024)
Joseph Gatto, Parker Seegmiller, Omar Sharif, Sarah Masud Preum
Mad Libs Are All You Need: Augmenting Cross-Domain Document-Level Event Argument Data. CoRR (2024)
Parker Seegmiller, Joseph Gatto, Omar Sharif, Madhusudan Basak, Sarah Masud Preum
Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit. CoRR (2024)
Joseph Gatto, Omar Sharif, Sarah Masud Preum
Chain-of-Thought Embeddings for Stance Detection on Social Media. CoRR (2023)
William Romano, Omar Sharif, Madhusudan Basak, Joseph Gatto, Sarah Masud Preum
Theme-driven Keyphrase Extraction from Social Media on Opioid Recovery. CoRR (2023)
Joseph Gatto, Sarah Masud Preum
Not Enough Labeled Data? Just Add Semantics: A Data-Efficient Method for Inferring Online Health Texts. CoRR (2023)
Joseph Gatto, Madhusudan Basak, Sarah Masud Preum
Scope of Pre-trained Language Models for Detecting Conflicting Health Information. ICWSM (2023)
Parker Seegmiller, Joseph Gatto, Abdullah Mamun, Hassan Ghasemzadeh, Diane J. Cook, John A. Stankovic, Sarah Masud Preum
ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence. CoRR (2023)
Joseph Gatto, Omar Sharif, Parker Seegmiller, Philip Bohlman, Sarah Masud Preum
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity. CoRR (2023)
Parker Seegmiller, Joseph Gatto, Madhusudan Basak, Diane J. Cook, Hassan Ghasemzadeh, John A. Stankovic, Sarah Masud Preum
The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints. CoRR (2023)
Joseph Gatto, Parker Seegmiller, Garrett M. Johnston, Madhusudan Basak, Sarah Masud Preum
HealthE: Recognizing Health Advice & Entities in Online Health Communities. ICWSM (2023)
Joseph Gatto, Omar Sharif, Sarah Preum
Chain-of-Thought Embeddings for Stance Detection on Social Media. EMNLP (Findings) (2023)
Parker Seegmiller, Joseph Gatto, Madhusudan Basak, Diane J. Cook, Hassan Ghasemzadeh, John A. Stankovic, Sarah Preum
The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints. ICHI (2023)
Joseph Gatto, Parker Seegmiller, Garrett Johnston, Sarah Masud Preum
HealthE: Classifying Entities in Online Textual Health Advice. CoRR (2022)
Joseph Gatto, Madhusudan Basak, Sarah Masud Preum
Scope of Pre-trained Language Models for Detecting Conflicting Health Information. CoRR (2022)
Yumi Iwashita, Kazuto Nakashima, Joseph Gatto, Shoya Higa, Adrian Stoica, Norris Khoo, Ryo Kurazume
Virtual IR Sensing for Planetary Rovers: Improved Terrain Classification and Thermal Inertia Estimation. IEEE Robotics Autom. Lett. 5 (4) (2020)
Joseph Gatto, Ravi Lanka, Yumi Iwashita, Adrian Stoica
Single Sample Feature Importance: An Interpretable Algorithm for Low-Level Feature Analysis. CoRR (2019)