@inproceedings{higashinaka-etal-2025-dslcmm,
    title = "{DSLCMM}: A Multimodal Human-Machine Dialogue Corpus Built through Competitions",
    author = "Higashinaka, Ryuichiro  and
      Takahashi, Tetsuro  and
      Iizuka, Shinya  and
      Horiuchi, Sota  and
      Inaba, Michimasa  and
      Qi, Zhiyang  and
      Sasaki, Yuta  and
      Funakoshi, Kotaro  and
      Moriya, Shoji  and
      Sato, Shiki  and
      Minato, Takashi  and
      Sakai, Kurima  and
      Funayama, Tomo  and
      Komuro, Masato  and
      Nishikawa, Hiroyuki  and
      Makino, Ryosaku  and
      Kikuchi, Hirofumi  and
      Usami, Mayumi",
    editor = "Torres, Maria Ines  and
      Matsuda, Yuki  and
      Callejas, Zoraida  and
      del Pozo, Arantza  and
      D'Haro, Luis Fernando",
    booktitle = "Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology",
    month = may,
    year = "2025",
    address = "Bilbao, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2025.iwsds-1.29/",
    pages = "277--283",
    ISBN = "979-8-89176-248-0",
    abstract = "A corpus of dialogues between multimodal systems and humans is indispensable for the development and improvement of such systems. However, there is a shortage of human-machine multimodal dialogue datasets, which hinders the widespread deployment of these systems in society. To address this issue, we construct a Japanese multimodal human-machine dialogue corpus, DSLCMM, by collecting and organizing data from the Dialogue System Live Competitions (DSLCs). This paper details the procedure for constructing the corpus and presents our analysis of the relationship between various dialogue features and evaluation scores provided by users."
}