@inproceedings{8482b63f44844546a4f985336435df9f,
title = "Storyline-Centric Detection of Aphasia and Dysarthria in Stroke Patient Transcripts",
abstract = "Aphasia and dysarthria are both common symptoms of stroke, affecting around 30% and 50% of acute ischemic stroke patients. In this paper, we propose a storyline-centric approach to detect aphasia and dysarthria in acute stroke patients using transcribed picture descriptions alone. Our pipeline enriches the training set with healthy data to address the lack of acute stroke patient data and utilizes knowledge distillation to significantly improve upon a document classification baseline, achieving an AUC of 0.814 (aphasia) and 0.764 (dysarthria) on a patient-only validation set.",
author = "Peiqi Sui and Wong, {Kelvin K.} and Xiaohui Yu and Volpi, {John J.} and Wong, {Stephen T.C.}",
note = "Funding Information: We sincerely thank the workshop organizers and anonymousreviewers for their generoustime, attention, and feedback. This work was supported by the T. T. & W. F. Chao Foundation and the John S. Dunn Research Foundation. Publisher Copyright: {\textcopyright} 2023 Association for Computational Linguistics.; 5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023. held at ACL 2023 ; Conference date: 14-07-2023",
year = "2023",
language = "English (US)",
series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "422--432",
booktitle = "5th Workshop on Clinical Natural Language Processing, ClinicalNLP 2023 - Proceedings of the Workshop",
}