Papers by Zac Imel

3 papers
Logic-driven Indirect Supervision: An Application to Crisis Counseling (2023.acl-long)

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Challenge: Text-based crisis counseling services are increasingly adopted by people seeking confidential mental health support.
Approach: They propose an inexpensive method that exploits declaratively stated structural dependencies between both levels of annotation to improve utterance modeling.
Outcome: The proposed method improves utterance modeling by 3.5% over a strong multitask baseline.
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.
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.

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