@inproceedings{threlkeld-de-ruiter-2022-duration,
title = "The Duration of a Turn Cannot be Used to Predict When It Ends",
author = "Threlkeld, Charles and
de Ruiter, Jp",
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-1.35",
doi = "10.18653/v1/2022.sigdial-1.35",
pages = "361--367",
abstract = "Turn taking in conversation is a complex process. We still don{'}t know how listeners are able to anticipate the end of a speaker{'}s turn. Previous work focuses on prosodic, semantic, and non-verbal cues that a turn is coming to an end. In this paper, we look at simple measures of duration {---} time, word count, and syllable count {---} to see if we can exploit the duration of turns as a cue. We find strong evidence that these metrics are useless.",
}
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<abstract>Turn taking in conversation is a complex process. We still don’t know how listeners are able to anticipate the end of a speaker’s turn. Previous work focuses on prosodic, semantic, and non-verbal cues that a turn is coming to an end. In this paper, we look at simple measures of duration — time, word count, and syllable count — to see if we can exploit the duration of turns as a cue. We find strong evidence that these metrics are useless.</abstract>
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%0 Conference Proceedings
%T The Duration of a Turn Cannot be Used to Predict When It Ends
%A Threlkeld, Charles
%A de Ruiter, Jp
%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 threlkeld-de-ruiter-2022-duration
%X Turn taking in conversation is a complex process. We still don’t know how listeners are able to anticipate the end of a speaker’s turn. Previous work focuses on prosodic, semantic, and non-verbal cues that a turn is coming to an end. In this paper, we look at simple measures of duration — time, word count, and syllable count — to see if we can exploit the duration of turns as a cue. We find strong evidence that these metrics are useless.
%R 10.18653/v1/2022.sigdial-1.35
%U https://aclanthology.org/2022.sigdial-1.35
%U https://doi.org/10.18653/v1/2022.sigdial-1.35
%P 361-367
Markdown (Informal)
[The Duration of a Turn Cannot be Used to Predict When It Ends](https://aclanthology.org/2022.sigdial-1.35) (Threlkeld & de Ruiter, SIGDIAL 2022)
ACL