Annotating Interruption in Dyadic Human Interaction

Liu Yang, Catherine Achard, Catherine Pelachaud

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2022 Language Resources and Evaluation Conference, LREC 2022
EditorsNicoletta Calzolari, Frederic Bechet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Helene Mazo, Jan Odijk, Stelios Piperidis
PublisherEuropean Language Resources Association (ELRA)
Pages2292-2297
Number of pages6
ISBN (Electronic)9791095546726
Publication statusPublished - 2022
Externally publishedYes
Event13th International Conference on Language Resources and Evaluation Conference, LREC 2022 - Marseille, France
Duration: 20 Jun 202225 Jun 2022

Publication series

Name2022 Language Resources and Evaluation Conference, LREC 2022

Conference

Conference13th International Conference on Language Resources and Evaluation Conference, LREC 2022
Country/TerritoryFrance
CityMarseille
Period20/06/2225/06/22

Keywords

  • Dyadic Conversation
  • Interruption Annotation
  • Turn-taking

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