Papers by Yifan.zhang Yifan.zhang

1 papers
One-Dimensional Object Detection for Streaming Text Segmentation of Meeting Dialogue (2025.findings-acl)

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Challenge: Current text segmentation models exhibit numerous limitations, such as imbalances in labels that affect the stability of model training and discrepancies between the model’s training tasks (sentence classification) and the actual text segmenting.
Approach: They implement a sliding window-based segmentation method and employ two different levels of sliding window based balanced label strategies to stabilize the training process of the streaming segmentation model.
Outcome: The proposed method is robust, controllable, and achieves state-of-the-art performance.

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