@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://aclanthology.org/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."
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%0 Conference Proceedings
%T DSLCMM: A Multimodal Human-Machine Dialogue Corpus Built through Competitions
%A Higashinaka, Ryuichiro
%A Takahashi, Tetsuro
%A Iizuka, Shinya
%A Horiuchi, Sota
%A Inaba, Michimasa
%A Qi, Zhiyang
%A Sasaki, Yuta
%A Funakoshi, Kotaro
%A Moriya, Shoji
%A Sato, Shiki
%A Minato, Takashi
%A Sakai, Kurima
%A Funayama, Tomo
%A Komuro, Masato
%A Nishikawa, Hiroyuki
%A Makino, Ryosaku
%A Kikuchi, Hirofumi
%A Usami, Mayumi
%Y Torres, Maria Ines
%Y Matsuda, Yuki
%Y Callejas, Zoraida
%Y del Pozo, Arantza
%Y D’Haro, Luis Fernando
%S Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology
%D 2025
%8 May
%I Association for Computational Linguistics
%C Bilbao, Spain
%@ 979-8-89176-248-0
%F higashinaka-etal-2025-dslcmm
%X 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.
%U https://aclanthology.org/2025.iwsds-1.29/
%P 277-283
Markdown (Informal)
[DSLCMM: A Multimodal Human-Machine Dialogue Corpus Built through Competitions](https://aclanthology.org/2025.iwsds-1.29/) (Higashinaka et al., IWSDS 2025)
ACL
- Ryuichiro Higashinaka, Tetsuro Takahashi, Shinya Iizuka, Sota Horiuchi, Michimasa Inaba, Zhiyang Qi, Yuta Sasaki, Kotaro Funakoshi, Shoji Moriya, Shiki Sato, Takashi Minato, Kurima Sakai, Tomo Funayama, Masato Komuro, Hiroyuki Nishikawa, Ryosaku Makino, Hirofumi Kikuchi, and Mayumi Usami. 2025. DSLCMM: A Multimodal Human-Machine Dialogue Corpus Built through Competitions. In Proceedings of the 15th International Workshop on Spoken Dialogue Systems Technology, pages 277–283, Bilbao, Spain. Association for Computational Linguistics.