TY - GEN
T1 - Topic-based measures of conversation for detecting mild cognitive impairment
AU - Chen, Liu
AU - Dodge, Hiroko H.
AU - Asgari, Meysam
N1 - Publisher Copyright:
© 2020 Association for Computational Linguistics.
PY - 2020
Y1 - 2020
N2 - Conversation is a complex cognitive task that engages multiple aspects of cognitive functions to remember the discussed topics, monitor the semantic and linguistic elements, and recognize others’ emotions. In this paper, we propose a computational method based on the lexical coherence of consecutive utterances to quantify topical variations in semi-structured conversations of older adults with cognitive impairments. Extracting the lexical knowledge of conversational utterances, our method generates a set of novel conversational measures that indicate underlying cognitive deficits among subjects with mild cognitive impairment (MCI). Our preliminary results verify the utility of the proposed conversation-based measures in distinguishing MCI from healthy controls.
AB - Conversation is a complex cognitive task that engages multiple aspects of cognitive functions to remember the discussed topics, monitor the semantic and linguistic elements, and recognize others’ emotions. In this paper, we propose a computational method based on the lexical coherence of consecutive utterances to quantify topical variations in semi-structured conversations of older adults with cognitive impairments. Extracting the lexical knowledge of conversational utterances, our method generates a set of novel conversational measures that indicate underlying cognitive deficits among subjects with mild cognitive impairment (MCI). Our preliminary results verify the utility of the proposed conversation-based measures in distinguishing MCI from healthy controls.
UR - http://www.scopus.com/inward/record.url?scp=85105679562&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85105679562&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85105679562
T3 - Proceedings of the Annual Meeting of the Association for Computational Linguistics
SP - 63
EP - 67
BT - ACL 2020 - Natural Language Processing for Medical Conversations, Proceedings of the Workshop
PB - Association for Computational Linguistics (ACL)
T2 - 2020 Workshop on Natural Language Processing for Medical Conversations, NLPMC 2020 at the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020
Y2 - 10 July 2020
ER -