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2020 – today
- 2024
[c6]Omar Sharif, Joseph Gatto, Madhusudan Basak, Sarah Masud Preum:
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments. EMNLP 2024: 12061-12081- [c5]William Romano, Omar Sharif, Madhusudan Basak, Joseph Gatto, Sarah Masud Preum:
Theme-Driven Keyphrase Extraction to Analyze Social Media Discourse. ICWSM 2024: 1315-1327 - [i14]Joseph Gatto, Parker Seegmiller, Omar Sharif, Sarah Masud Preum:
Mad Libs Are All You Need: Augmenting Cross-Domain Document-Level Event Argument Data. CoRR abs/2403.03304 (2024) - [i13]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 abs/2403.03336 (2024) - [i12]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 abs/2404.01147 (2024) - [i11]Parker Seegmiller, Joseph Gatto, Sarah Masud Preum:
Depth F1: Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability. CoRR abs/2406.14695 (2024) - [i10]Omar Sharif, Joseph Gatto, Madhusudan Basak, Sarah M. Preum:
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments. CoRR abs/2410.03594 (2024) - 2023
- [c4]Joseph Gatto, Omar Sharif, Sarah Preum:
Chain-of-Thought Embeddings for Stance Detection on Social Media. EMNLP (Findings) 2023: 4154-4161 - [c3]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: 601-609 - [c2]Joseph Gatto, Madhusudan Basak, Sarah Masud Preum:
Scope of Pre-trained Language Models for Detecting Conflicting Health Information. ICWSM 2023: 221-232 - [c1]Joseph Gatto, Parker Seegmiller, Garrett M. Johnston, Madhusudan Basak, Sarah Masud Preum:
HealthE: Recognizing Health Advice & Entities in Online Health Communities. ICWSM 2023: 1024-1033 - [i9]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 abs/2301.07051 (2023) - [i8]William Romano, Omar Sharif, Madhusudan Basak, Joseph Gatto, Sarah Masud Preum:
Theme-driven Keyphrase Extraction from Social Media on Opioid Recovery. CoRR abs/2301.11508 (2023) - [i7]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 abs/2303.09366 (2023) - [i6]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 abs/2309.06541 (2023) - [i5]Joseph Gatto, Sarah Masud Preum:
Not Enough Labeled Data? Just Add Semantics: A Data-Efficient Method for Inferring Online Health Texts. CoRR abs/2309.09877 (2023) - [i4]Joseph Gatto, Omar Sharif, Sarah Masud Preum:
Chain-of-Thought Embeddings for Stance Detection on Social Media. CoRR abs/2310.19750 (2023) - 2022
- [i3]Joseph Gatto, Madhusudan Basak, Sarah Masud Preum:
Scope of Pre-trained Language Models for Detecting Conflicting Health Information. CoRR abs/2209.11102 (2022) - [i2]Joseph Gatto, Parker Seegmiller, Garrett Johnston, Sarah Masud Preum:
HealthE: Classifying Entities in Online Textual Health Advice. CoRR abs/2210.03246 (2022) - 2020
- [j1]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): 6302-6309 (2020)
2010 – 2019
- 2019
- [i1]Joseph Gatto, Ravi Lanka, Yumi Iwashita, Adrian Stoica:
Single Sample Feature Importance: An Interpretable Algorithm for Low-Level Feature Analysis. CoRR abs/1911.11901 (2019)
Coauthor Index
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