activity
20202023
most citedAn Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles

1 citations · 2 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CL2023

A Dialogue System for Assessing Activities of Daily Living: Improving Consistency with Grounded Knowledge

Zhecheng Sheng, Raymond Finzel, Michael Lucke +3

In healthcare, the ability to care for oneself is reflected in the "Activities of Daily Living (ADL)," which serve as a measure of functional ability (functioning). A lack of funct…

eess.AS20221 cited

The Far Side of Failure: Investigating the Impact of Speech Recognition Errors on Subsequent Dementia Classification

Changye Li, Trevor Cohen, Serguei Pakhomov

Linguistic anomalies detectable in spontaneous speech have shown promise for various clinical applications including screening for dementia and other forms of cognitive impairment.…

cs.CL2022

GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate Degradation of Artificial Neural Language Models

Changye Li, David Knopman, Weizhe Xu +2

Deep learning (DL) techniques involving fine-tuning large numbers of model parameters have delivered impressive performance on the task of discriminating between language produced…

cs.CL20211 cited

An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles

Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz +10

Our objective in this study is to investigate the behavior of Boolean operators on combining annotation output from multiple Natural Language Processing (NLP) systems across multip…

cs.CL2021

A Conversational Agent System for Dietary Supplements Use

Esha Singh, Anu Bompelli, Ruyuan Wan +3

Dietary supplements (DS) have been widely used by consumers, but the information around the efficacy and safety of DS is disparate or incomplete, thus creating barriers for consume…

cs.CL2020

A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer's Type

Trevor Cohen, Serguei Pakhomov

In recent years there has been a burgeoning interest in the use of computational methods to distinguish between elicited speech samples produced by patients with dementia, and thos…