@inproceedings{keizer-etal-2019-user,
title = "User Evaluation of a Multi-dimensional Statistical Dialogue System",
author = "Keizer, Simon and
Du{\v{s}}ek, Ond{\v{r}}ej and
Liu, Xingkun and
Rieser, Verena",
editor = "Nakamura, Satoshi and
Gasic, Milica and
Zukerman, Ingrid and
Skantze, Gabriel and
Nakano, Mikio and
Papangelis, Alexandros and
Ultes, Stefan and
Yoshino, Koichiro",
booktitle = "Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue",
month = sep,
year = "2019",
address = "Stockholm, Sweden",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-5945",
doi = "10.18653/v1/W19-5945",
pages = "392--398",
abstract = "We present the first complete spoken dialogue system driven by a multiimensional statistical dialogue manager. This framework has been shown to substantially reduce data needs by leveraging domain-independent dimensions, such as social obligations or feedback, which (as we show) can be transferred between domains. In this paper, we conduct a user study and show that the performance of a multi-dimensional system, which can be adapted from a source domain, is equivalent to that of a one-dimensional baseline, which can only be trained from scratch.",
}
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%0 Conference Proceedings
%T User Evaluation of a Multi-dimensional Statistical Dialogue System
%A Keizer, Simon
%A Dušek, Ondřej
%A Liu, Xingkun
%A Rieser, Verena
%Y Nakamura, Satoshi
%Y Gasic, Milica
%Y Zukerman, Ingrid
%Y Skantze, Gabriel
%Y Nakano, Mikio
%Y Papangelis, Alexandros
%Y Ultes, Stefan
%Y Yoshino, Koichiro
%S Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
%D 2019
%8 September
%I Association for Computational Linguistics
%C Stockholm, Sweden
%F keizer-etal-2019-user
%X We present the first complete spoken dialogue system driven by a multiimensional statistical dialogue manager. This framework has been shown to substantially reduce data needs by leveraging domain-independent dimensions, such as social obligations or feedback, which (as we show) can be transferred between domains. In this paper, we conduct a user study and show that the performance of a multi-dimensional system, which can be adapted from a source domain, is equivalent to that of a one-dimensional baseline, which can only be trained from scratch.
%R 10.18653/v1/W19-5945
%U https://aclanthology.org/W19-5945
%U https://doi.org/10.18653/v1/W19-5945
%P 392-398
Markdown (Informal)
[User Evaluation of a Multi-dimensional Statistical Dialogue System](https://aclanthology.org/W19-5945) (Keizer et al., SIGDIAL 2019)
ACL