Chen Liu, Dodge Hiroko H, Asgari Meysam
Center for Spoken Language Understanding Oregon Health & Science University.
Department of Neurology Oregon Health & Science University.
Proc Conf Assoc Comput Linguist Meet. 2020 Jul;2020:63-67.
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.
对话是一项复杂的认知任务，它涉及认知功能的多个方面，以记住讨论的话题、监控语义和语言元素，并识别他人的情绪。在本文中，我们提出了一种基于连续话语词汇连贯性的计算方法，以量化患有认知障碍的老年人在半结构化对话中的话题变化。通过提取对话话语的词汇知识，我们的方法生成了一组新颖的对话指标，这些指标表明了轻度认知障碍（MCI）患者潜在的认知缺陷。我们的初步结果验证了所提出的基于对话的指标在区分MCI与健康对照方面的效用。
