Turning point detection in human conversations

Bao Dinh

Data Visualizer
ML Engineer
Academic Writer
An illustration for the turning point detection problem
An illustration for the turning point detection problem

Project description

As my paper is currently undergoing anonymous review, I will provide updates on this project once the results are available. Therefore, please don't hesitate to reach out to me via Zoom, where I can share the evidence and outcomes of this research.
Supervisors: Prof. Wray Buntine, Dr. Mahsa Salehi, Dr. Chang Wei Tan

Summary

In this project, I have made the following contribution:
First author of a research paper submitted to an A* conference in Computational Linguistics
Formulated the novel problem of change-point detection in human conversations
Leader of the annotation team, managed and provided sufficient training for the annotators
Collected, preprocessed conversational videos
Implemented baselines (full pipelines) using LLMs (Large Language Models) with different prompting strategies to solve the proposed problems
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