10 citations · 18 across the 17 of their papers we have counts for
Showing 2024 · cs.CLShow all
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cs.CL2024
Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning
Kyoka Ono, Simon A. Lee
Recent research has explored how Language Models (LMs) can be used for feature representation and prediction in tabular machine learning tasks. This involves employing text seriali…
cs.CL2024★ 7 cited
Can Large Language Models abstract Medical Coded Language?
Simon A. Lee, Timothy Lindsey
Large Language Models (LLMs) have become a pivotal research area, potentially making beneficial contributions in fields like healthcare where they can streamline automated billing…
cs.CL2024★ 10 cited
Emergency Department Decision Support using Clinical Pseudo-notes
Simon A. Lee, Sujay Jain, Alex Chen +4
In this work, we introduce the Multiple Embedding Model for EHR (MEME), an approach that serializes multimodal EHR tabular data into text using pseudo-notes, mimicking clinical tex…