@inproceedings{higashinaka-etal-2016-dialogue,
title = "The dialogue breakdown detection challenge: Task description, datasets, and evaluation metrics",
author = "Higashinaka, Ryuichiro and
Funakoshi, Kotaro and
Kobayashi, Yuka and
Inaba, Michimasa",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1502",
pages = "3146--3150",
abstract = "Dialogue breakdown detection is a promising technique in dialogue systems. To promote the research and development of such a technique, we organized a dialogue breakdown detection challenge where the task is to detect a system{'}s inappropriate utterances that lead to dialogue breakdowns in chat. This paper describes the design, datasets, and evaluation metrics for the challenge as well as the methods and results of the submitted runs of the participants.",
}
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%0 Conference Proceedings
%T The dialogue breakdown detection challenge: Task description, datasets, and evaluation metrics
%A Higashinaka, Ryuichiro
%A Funakoshi, Kotaro
%A Kobayashi, Yuka
%A Inaba, Michimasa
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F higashinaka-etal-2016-dialogue
%X Dialogue breakdown detection is a promising technique in dialogue systems. To promote the research and development of such a technique, we organized a dialogue breakdown detection challenge where the task is to detect a system’s inappropriate utterances that lead to dialogue breakdowns in chat. This paper describes the design, datasets, and evaluation metrics for the challenge as well as the methods and results of the submitted runs of the participants.
%U https://aclanthology.org/L16-1502
%P 3146-3150
Markdown (Informal)
[The dialogue breakdown detection challenge: Task description, datasets, and evaluation metrics](https://aclanthology.org/L16-1502) (Higashinaka et al., LREC 2016)
ACL