Annotating Interruption in Dyadic Human Interaction - Archive ouverte HAL
Communication Dans Un Congrès Année : 2022

Annotating Interruption in Dyadic Human Interaction

Résumé

Integrating the existing interruption and turn switch classification methods, we propose a new annotation schema to annotate different types of interruptions through timeliness, accomplishment and speech content level. We annotated the French part of NoXi corpus with the proposed structure and use these annotations to study the probability distribution and duration of each turn switch type.
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Dates et versions

hal-03855440 , version 1 (16-11-2022)

Identifiants

  • HAL Id : hal-03855440 , version 1

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Liu Yang, Catherine Achard, Catherine Pelachaud. Annotating Interruption in Dyadic Human Interaction. Thirteenth Language Resources and Evaluation Conference, LREC, 2022, Marseille, France. ⟨hal-03855440⟩
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