Hong Yu

Citation Analysis with Neural Attention Models

2016

Automated citation analysis (ACA) can be important for many applications including author ranking and literature based information retrieval, extraction, summarization and question answering. In this study, we developed a new compositional attention network (CAN) model …

Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients

2017 · Journal of Biomedical Informatics

BACKGROUND: Allowing patients to access their own electronic health record (EHR) notes through online patient portals has the potential to improve patient-centered care. However, EHR notes contain abundant medical jargon that can be difficult for …

A method for evaluating the rescue priority level of power line post-disaster based on AHP

2017

In recent years, various natural disasters occurred frequently, such as earthquake, typhoon, etc. These disasters constitute a great threat to the safe and stable operation of the power grid, at the same time, it also …

ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network

2019 · arXiv (Cornell University)

Automated ICD coding, which assigns the International Classification of Disease codes to patient visits, has attracted much research attention since it can save time and labor for billing. The previous state-of-the-art model utilized one convolutional …

Sub-Word Alignment Is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine Translation

2022 · arXiv (Cornell University)

We leverage embedding duplication between aligned sub-words to extend the Parent-Child transfer learning method, so as to improve low-resource machine translation. We conduct experiments on benchmark datasets of My-En, Id-En and Tr-En translation scenarios. The …

Generating User-Engaging News Headlines

2023

Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu, Dong Yu. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.

Large Language Model-based Role-Playing for Personalized Medical Jargon Extraction

2024 · arXiv (Cornell University)

Previous studies reveal that Electronic Health Records (EHR), which have been widely adopted in the U.S. to allow patients to access their personal medical information, do not have high readability to patients due to the …

Chatbot To Help Patients Understand Their Health

2025 · arXiv (Cornell University)

Patients must possess the knowledge necessary to actively participate in their care. We present NoteAid-Chatbot, a conversational AI that promotes patient understanding via a novel 'learning as conversation' framework, built on a multi-agent large language …