@article{tsubokura-etal-2026-corpus,
    title = "A Corpus for Personalized Dialogue Breakdown Repair in {J}apanese Open-Domain Conversations",
    author = "Tsubokura, Kazuya  and
      Iribe, Yurie  and
      Kitaoka, Norihide",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    journal = "International Conference on Language Resources and Evaluation",
    volume = "main",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.227/",
    pages = "2899--2912",
    abstract = "Recent advances in dialogue systems have been remarkable; however, conversational breakdowns still occur, making it essential to develop appropriate repair strategies. Nevertheless, when a system breakdown actually occurs, it remains unclear how the system should perform the repair, and no corpus has been available to investigate this issue. To address this gap, we presented typical examples of system-induced dialogue breakdowns to crowd workers and collected their expected repair utterances toward the broken system. Each repair utterance was annotated with dialogue act tags, and we constructed a breakdown-repair corpus consisting of 3,990 utterances covering ten representative types of breakdowns. This corpus includes breakdown cases across diverse situations, allowing for the examination of various repair patterns. Furthermore, we also conducted a questionnaire on participants' personal traits, creating a dataset that enables the investigation of repair strategies tailored to individual user characteristics. In this paper, we report an overview of the dataset and preliminary analysis results."
}