Dialogue Repair

Dialogue repair focuses on understanding and resolving communication breakdowns in human-computer interactions, particularly in voice assistants and task-oriented dialogue systems. Current research emphasizes analyzing repair strategies in both human-human and human-computer dialogue, identifying discrepancies and developing methods to improve the latter's ability to handle misunderstandings. This involves exploring techniques like synthetic data generation to augment training data for improved model performance and employing novel architectures such as back and denoising reconstruction to mitigate error propagation in end-to-end systems. Ultimately, advancements in dialogue repair are crucial for creating more natural and robust human-computer communication.