Skatje Myers

11 papers B 1Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs.
CoRR
Skatje Myers, Dmitriy Dligach, Timothy A. Miller, Samantha Barr, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Majid Afshar
2025 J jnl
Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies.
J. Am. Medical Informatics Assoc.
Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar
2024 — conf
Building a Broad Infrastructure for Uniform Meaning Representations.
LREC/COLING
Julia Bonn, Matthew J. Buchholz, Jayeol Chun, Andrew Cowell, William Croft, Lukas Denk, Sijia Ge, Jan Hajic, Kenneth Lai, James H. Martin, Skatje Myers, Alexis Palmer, Martha Palmer, Claire Benet Post, James Pustejovsky, Kristine Stenzel, Haibo Sun, Zdenka Uresová, Rosa Vallejos, Jens E. L. Van Gysel, Meagan Vigus, Nianwen Xue, Jin Zhao
2024 J jnl
Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies.
CoRR
Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar
2024 J jnl
Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability.
CoRR
Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Guanhua Chen, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar
2024 — conf
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?
EMNLP (Findings)
Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar
2024 J jnl
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?
CoRR
Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar
2023 — conf
Leveraging Active Learning to Minimise SRL Annotation Across Corpora.
*SEM@ACL
Skatje Myers, Martha Palmer
2022 — conf
PropBank Comes of Age - Larger, Smarter, and more Diverse.
*SEM@NAACL-HLT
Sameer Pradhan, Julia Bonn, Skatje Myers, Kathryn Conger, Tim O'Gorman, James Gung, Kristin Wright-Bettner, Martha Palmer
2021 — conf
Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation.
ACL/IJCNLP (1)
Zixuan Zhang, Nikolaus Nova Parulian, Heng Ji, Ahmed ElSayed, Skatje Myers, Martha Palmer
2020 B conf
The Russian PropBank.
LREC
Sarah R. Moeller, Irina Wagner, Martha Palmer, Kathryn Conger, Skatje Myers