William Hogan

18 papers A* 2Misc 1Journal 9Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction.
NAACL (Long Papers)
William Hogan, Jingbo Shang
2024 J jnl
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction.
CoRR
William Hogan, Jingbo Shang
2024 — conf
MiDRED: An Annotated Corpus for Microbiome Knowledge Base Construction.
BioNLP@ACL
William Hogan, Andrew Bartko, Jingbo Shang, Chun-Nan Hsu
2024 J jnl
Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning.
CoRR
Fengyi Gao, Xingyu Zhang, Sonish Sivarajkumar, Parker E. Denny, Bayan M. Aldhahwani, Shyam Visweswaran, Ryan Shi, William Hogan, Allyn Bove, Yanshan Wang
2024 — conf
READ: Improving Relation Extraction from an ADversarial Perspective.
NAACL-HLT (Findings)
Dawei Li, William Hogan, Jingbo Shang
2024 J jnl
READ: Improving Relation Extraction from an ADversarial Perspective.
CoRR
Dawei Li, William Hogan, Jingbo Shang
2023 J jnl
DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase.
CoRR
Dawei Li, Yaxuan Li, Dheeraj Mekala, Shuyao Li, Yulin Wang, Xueqi Wang, William Hogan, Jingbo Shang
2023 A* conf
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting.
EMNLP
William Hogan, Jiacheng Li, Jingbo Shang
2023 J jnl
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting.
CoRR
William Hogan, Jiacheng Li, Jingbo Shang
2022 J jnl
An Overview of Distant Supervision for Relation Extraction with a Focus on Denoising and Pre-training Methods.
CoRR
William Hogan
2022 A* conf
Fine-grained Contrastive Learning for Relation Extraction.
EMNLP
William Hogan, Jiacheng Li, Jingbo Shang
2022 J jnl
Fine-grained Contrastive Learning for Relation Extraction.
CoRR
William Hogan, Jiacheng Li, Jingbo Shang
2022 Misc conf
Machine learning and natural language processing for classifying infant feeding status from clinical notes.
AMIA
Dominick J. Lemas, Braeden Lewis, Simon Frank, Lauren Wright, Marina Magalhães, Ke Xu, Xinsong Du, Leslie Parker, Joy Elensi, Lindsay Thompson, William Hogan, Modave Francois
2021 — conf
Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction.
AKBC
William Hogan, Molly Huang, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Yoshiki Vazquez-Baeza, Andrew Bartko, Chun-Nan Hsu
2021 J jnl
Abstractified Multi-instance Learning (AMIL) for Biomedical Relation Extraction.
CoRR
William Hogan, Molly Huang, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Yoshiki Vazquez-Baeza, Andrew Bartko, Chun-Nan Hsu
2021 — conf
BLAR: Biomedical Local Acronym Resolver.
BioNLP@NAACL-HLT
William Hogan, Yoshiki Vazquez-Baeza, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Chun-Nan Hsu
2018 — conf
Representing the Aboutness of a Diagnosis.
MIE
William Hogan
1973 J jnl
Directional Derivatives for Extremal-Value Functions with Applications to the Completely Convex Case.
Oper. Res.
William Hogan