@inproceedings{ward-2022-using,
title = "Using Interaction Style Dimensions to Characterize Spoken Dialog Corpora",
author = "Ward, Nigel",
editor = "Lemon, Oliver and
Hakkani-Tur, Dilek and
Li, Junyi Jessy and
Ashrafzadeh, Arash and
Garcia, Daniel Hern{\'a}ndez and
Alikhani, Malihe and
Vandyke, David and
Du{\v{s}}ek, Ond{\v{r}}ej",
booktitle = "Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue",
month = sep,
year = "2022",
address = "Edinburgh, UK",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.sigdial-1.23",
doi = "10.18653/v1/2022.sigdial-1.23",
pages = "225--230",
abstract = "The construction of spoken dialog systems today relies heavily on appropriate corpora, but corpus selection is more an art than a science. As interaction style properties govern many aspects of dialog, they have the potential to be useful for relating and comparing corpora. This paper overviews a recently-developed model of interaction styles and shows how it can be used to identify relevant corpus differences, estimate corpus similarity, and flag likely outlier dialogs.",
}
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%0 Conference Proceedings
%T Using Interaction Style Dimensions to Characterize Spoken Dialog Corpora
%A Ward, Nigel
%Y Lemon, Oliver
%Y Hakkani-Tur, Dilek
%Y Li, Junyi Jessy
%Y Ashrafzadeh, Arash
%Y Garcia, Daniel Hernández
%Y Alikhani, Malihe
%Y Vandyke, David
%Y Dušek, Ondřej
%S Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue
%D 2022
%8 September
%I Association for Computational Linguistics
%C Edinburgh, UK
%F ward-2022-using
%X The construction of spoken dialog systems today relies heavily on appropriate corpora, but corpus selection is more an art than a science. As interaction style properties govern many aspects of dialog, they have the potential to be useful for relating and comparing corpora. This paper overviews a recently-developed model of interaction styles and shows how it can be used to identify relevant corpus differences, estimate corpus similarity, and flag likely outlier dialogs.
%R 10.18653/v1/2022.sigdial-1.23
%U https://aclanthology.org/2022.sigdial-1.23
%U https://doi.org/10.18653/v1/2022.sigdial-1.23
%P 225-230
Markdown (Informal)
[Using Interaction Style Dimensions to Characterize Spoken Dialog Corpora](https://aclanthology.org/2022.sigdial-1.23) (Ward, SIGDIAL 2022)
ACL