Papers by David Atkins
Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations (2020.acl-main)
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| Challenge: | Xu and Sarikaya, 2014) proposes a framework for predicting utterance level labels directly from speech features. |
| Approach: | They propose a framework for predicting utterance level labels directly from speech features using a pretrained Speech-2-Vector encoder as bottleneck. |
| Outcome: | The proposed model outperforms state-of-the-art approaches which use transcribed text for the task of predicting psychotherapy-relevant behavior codes. |
Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios (2022.findings-emnlp)
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| Challenge: | Behavioral coding is a procedure that requires human intervention to be performed manually. |
| Approach: | They propose to use a publicly available conversation-based dataset to transfer knowledge to a low-resource behavioral coding task by meta-learning. |
| Outcome: | The proposed framework predicts target behaviors more accurately than baseline models. |
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support (2020.emnlp-main)
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| Challenge: | Empathy measurement has predominantly occurred in synchronous, face-to-face settings, and may not translate to asynchronous, text-based contexts. |
| Approach: | They propose a computational approach to understanding how empathy is expressed in online mental health platforms. |
| Outcome: | The proposed model can identify empathic conversations and extract rationales from them. |
Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes (P19-1)
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| Challenge: | a new study examines the role of dialogue observers in psychotherapy . the model is based on motivational interviewing, which is effective for treating addictions . |
| Approach: | They propose to model MI behavioral codes for therapists by an observer . they propose to use the observer to forecast therapist and client MI behavioral code . |
| Outcome: | The proposed model outperforms baseline models for both tasks and reveals tradeoffs in performance. |