activity
20202022
most citedLeveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios

3 citations · 5 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CL20223 cited

Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios

Zhuohao Chen, Nikolaos Flemotomos, Zac E. Imel +2

In psychotherapy interactions, the quality of a session is assessed by codifying the communicative behaviors of participants during the conversation through manual observation and…

eess.AS2021

Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies

Nikolaos Flemotomos, Victor R. Martinez, Zhuohao Chen +13

With the growing prevalence of psychological interventions, it is vital to have measures which rate the effectiveness of psychological care to assist in training, supervision, and…

cs.CL2021

Automated Quality Assessment of Cognitive Behavioral Therapy Sessions Through Highly Contextualized Language Representations

Nikolaos Flemotomos, Victor R. Martinez, Zhuohao Chen +3

During a psychotherapy session, the counselor typically adopts techniques which are codified along specific dimensions (e.g., 'displays warmth and confidence', or 'attempts to set…

eess.AS20202 cited

Automated Empathy Detection for Oncology Encounters

Zhuohao Chen, James Gibson, Ming-Chang Chiu +6

Empathy involves understanding other people's situation, perspective, and feelings. In clinical interactions, it helps clinicians establish rapport with a patient and support patie…

eess.AS2020

Feature Fusion Strategies for End-to-End Evaluation of Cognitive Behavior Therapy Sessions

Zhuohao Chen, Nikolaos Flemotomos, Victor Ardulov +4

Cognitive Behavioral Therapy (CBT) is a goal-oriented psychotherapy for mental health concerns implemented in a conversational setting with broad empirical support for its effectiv…

cs.CL2020

A Label Proportions Estimation Technique for Adversarial Domain Adaptation in Text Classification

Zhuohao Chen, Singla Karan, David C. Atkins +2

Many text classification tasks are domain-dependent, and various domain adaptation approaches have been proposed to predict unlabeled data in a new domain. Domain-adversarial neura…