New research models dialogue address as a continuous phenomenon

Researchers have proposed a new approach to understanding address in multi-party dialogues, moving beyond discrete labels to a continuous level representation. This new method analyzes how utterances are directed and finds that address is associated with listener behaviors like gaze and backchannels, not just turn-taking. Models utilizing these continuous address levels demonstrated improved predictive accuracy compared to those using discrete labels, suggesting a more nuanced understanding of conversational address. AI

IMPACT This research reframes addressee detection in dialogue systems, potentially improving turn-taking and listener engagement prediction.

RANK_REASON Academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• Computation and Language
• Hugging Face
• On the Structure of Address in Multi-Party Dialogue: From Discrete Labels to Continuous Levels

• paper
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →