@inproceedings{soni-etal-2022-empirical,
title = "An Empirical Study of Topic Transition in Dialogue",
author = "Soni, Mayank and
Spillane, Brendan and
Muckley, Leo and
Cooney, Orla and
Gilmartin, Emer and
Saam, Christian and
Cowan, Benjamin and
Wade, Vincent",
editor = "Braud, Chloe and
Hardmeier, Christian and
Li, Junyi Jessy and
Loaiciga, Sharid and
Strube, Michael and
Zeldes, Amir",
booktitle = "Proceedings of the 3rd Workshop on Computational Approaches to Discourse",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea and Online",
publisher = "International Conference on Computational Linguistics",
url = "https://aclanthology.org/2022.codi-1.12",
pages = "92--99",
abstract = "Although topic transition has been studied in dialogue for decades, only a handful of corpora based quantitative studies have been conducted to investigate the nature of topic transitions. Towards this end, this study annotates 215 conversations from the switchboard corpus, perform quantitative analysis and finds that 1) longer conversations consists of more topic transitions, 2) topic transition are usually lead by one participant and 3) we found no pattern in time series progression of topic transition. We also model topic transition with a precision of 91{\%}.",
}
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<abstract>Although topic transition has been studied in dialogue for decades, only a handful of corpora based quantitative studies have been conducted to investigate the nature of topic transitions. Towards this end, this study annotates 215 conversations from the switchboard corpus, perform quantitative analysis and finds that 1) longer conversations consists of more topic transitions, 2) topic transition are usually lead by one participant and 3) we found no pattern in time series progression of topic transition. We also model topic transition with a precision of 91%.</abstract>
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%0 Conference Proceedings
%T An Empirical Study of Topic Transition in Dialogue
%A Soni, Mayank
%A Spillane, Brendan
%A Muckley, Leo
%A Cooney, Orla
%A Gilmartin, Emer
%A Saam, Christian
%A Cowan, Benjamin
%A Wade, Vincent
%Y Braud, Chloe
%Y Hardmeier, Christian
%Y Li, Junyi Jessy
%Y Loaiciga, Sharid
%Y Strube, Michael
%Y Zeldes, Amir
%S Proceedings of the 3rd Workshop on Computational Approaches to Discourse
%D 2022
%8 October
%I International Conference on Computational Linguistics
%C Gyeongju, Republic of Korea and Online
%F soni-etal-2022-empirical
%X Although topic transition has been studied in dialogue for decades, only a handful of corpora based quantitative studies have been conducted to investigate the nature of topic transitions. Towards this end, this study annotates 215 conversations from the switchboard corpus, perform quantitative analysis and finds that 1) longer conversations consists of more topic transitions, 2) topic transition are usually lead by one participant and 3) we found no pattern in time series progression of topic transition. We also model topic transition with a precision of 91%.
%U https://aclanthology.org/2022.codi-1.12
%P 92-99
Markdown (Informal)
[An Empirical Study of Topic Transition in Dialogue](https://aclanthology.org/2022.codi-1.12) (Soni et al., CODI 2022)
ACL
- Mayank Soni, Brendan Spillane, Leo Muckley, Orla Cooney, Emer Gilmartin, Christian Saam, Benjamin Cowan, and Vincent Wade. 2022. An Empirical Study of Topic Transition in Dialogue. In Proceedings of the 3rd Workshop on Computational Approaches to Discourse, pages 92–99, Gyeongju, Republic of Korea and Online. International Conference on Computational Linguistics.