@inproceedings{ohashi-2024-towards,
    title = "Towards Robust and Multilingual Task-Oriented Dialogue Systems",
    author = "Ohashi, Atsumoto",
    editor = "Inoue, Koji  and
      Fu, Yahui  and
      Axelsson, Agnes  and
      Ohashi, Atsumoto  and
      Madureira, Brielen  and
      Zenimoto, Yuki  and
      Mohapatra, Biswesh  and
      Stricker, Armand  and
      Khosla, Sopan",
    booktitle = "Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems",
    month = sep,
    year = "2024",
    address = "Kyoto, Japan",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.yrrsds-1.13/",
    pages = "35--36",
    abstract = "In this position paper, I present my research interests regarding the field of task-oriented dialogue systems. My work focuses on two main aspects: optimizing the task completion ability of dialogue systems using reinforcement learning, and developing language resources and exploring multilinguality to support the advancement of dialogue systems across different languages. I discuss the limitations of current approaches in achieving robust task completion performance and propose a novel optimization approach called Post-Processing Networks. Furthermore, I highlight the importance of multilingual dialogue datasets and describe our work on constructing JMultiWOZ, the first large-scale Japanese task-oriented dialogue dataset."
}