"Mm, Wat?" Detecting Other-initiated Repair Requests in Dialogue
October 28, 2025 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
"No code URL or promise found in abstract"
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Authors
Anh Ngo, Nicolas Rollet, Catherine Pelachaud, Chloe Clavel
arXiv ID
2510.24628
Category
cs.CL: Computation & Language
Citations
0
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
6 months ago
Abstract
Maintaining mutual understanding is a key component in human-human conversation to avoid conversation breakdowns, in which repair, particularly Other-Initiated Repair (OIR, when one speaker signals trouble and prompts the other to resolve), plays a vital role. However, Conversational Agents (CAs) still fail to recognize user repair initiation, leading to breakdowns or disengagement. This work proposes a multimodal model to automatically detect repair initiation in Dutch dialogues by integrating linguistic and prosodic features grounded in Conversation Analysis. The results show that prosodic cues complement linguistic features and significantly improve the results of pretrained text and audio embeddings, offering insights into how different features interact. Future directions include incorporating visual cues, exploring multilingual and cross-context corpora to assess the robustness and generalizability.
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