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TEIDAN corpus launched for multilingual multiparty dialogue research

Researchers have introduced TEIDAN, a new multilingual multimodal corpus designed to facilitate research in multiparty dialogue systems. The corpus currently features Japanese and English conversations among three participants, recorded with individual and array microphones, as well as participant-facing cameras. TEIDAN provides IPU-based transcripts and is intended for expansion to additional languages to support cross-linguistic studies of spontaneous group discussions. AI

IMPACT Enables new research into human-agent interaction within multiparty conversations.

RANK_REASON The cluster describes a new academic paper presenting a novel dataset for research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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

TEIDAN corpus launched for multilingual multiparty dialogue research

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The cluster describes a new academic paper presenting a novel dataset for research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Taiga Mori, Koji Inoue, Mikey Elmers, Divesh Lala, Tatsuya Kawahara ·

    TEIDAN: A Multilingual Multiparty Dialogue Corpus

    arXiv:2609.00802v1 Announce Type: new Abstract: Multi-party interaction is a central setting for human communication and a necessary target for human-agent interaction systems that must participate in group conversation. Yet available corpora often focus on meetings, task-oriente…