@inproceedings{kikteva-etal-2022-keystone,
title = "The Keystone Role Played by Questions in Debate",
author = "Kikteva, Zlata and
Gorska, Kamila and
Siskou, Wassiliki and
Hautli-Janisz, Annette and
Reed, Chris",
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-1.8",
pages = "54--63",
abstract = "Building on the recent results of a study into the roles that are played by questions in argumentative dialogue (Hautli-Janisz et al.,2022a), we expand the analysis to investigate a newly released corpus that constitutes the largest extant corpus of closely annotated debate. Questions play a critical role in driving dialogical discourse forward; in combative or critical discursive environments, they not only provide a range of discourse management techniques, they also scaffold the semantic structure of the positions that interlocutors develop. The boundaries, however, between providing substantive answers to questions, merely responding to questions, and evading questions entirely, are fuzzy and the way in which answers, responses and evasions affect the subsequent development of dialogue and argumentation structure are poorly understood. In this paper, we explore how questions have ramifications on the large-scale structure of a debate using as our substrate the BBC television programme Question Time, the foremost topical debate show in the UK. Analysis of the data demonstrates not only that questioning plays a particularly prominent role in such debate, but also that its repercussions can reverberate through a discourse.",
}
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%0 Conference Proceedings
%T The Keystone Role Played by Questions in Debate
%A Kikteva, Zlata
%A Gorska, Kamila
%A Siskou, Wassiliki
%A Hautli-Janisz, Annette
%A Reed, Chris
%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 kikteva-etal-2022-keystone
%X Building on the recent results of a study into the roles that are played by questions in argumentative dialogue (Hautli-Janisz et al.,2022a), we expand the analysis to investigate a newly released corpus that constitutes the largest extant corpus of closely annotated debate. Questions play a critical role in driving dialogical discourse forward; in combative or critical discursive environments, they not only provide a range of discourse management techniques, they also scaffold the semantic structure of the positions that interlocutors develop. The boundaries, however, between providing substantive answers to questions, merely responding to questions, and evading questions entirely, are fuzzy and the way in which answers, responses and evasions affect the subsequent development of dialogue and argumentation structure are poorly understood. In this paper, we explore how questions have ramifications on the large-scale structure of a debate using as our substrate the BBC television programme Question Time, the foremost topical debate show in the UK. Analysis of the data demonstrates not only that questioning plays a particularly prominent role in such debate, but also that its repercussions can reverberate through a discourse.
%U https://aclanthology.org/2022.codi-1.8
%P 54-63
Markdown (Informal)
[The Keystone Role Played by Questions in Debate](https://aclanthology.org/2022.codi-1.8) (Kikteva et al., CODI 2022)
ACL
- Zlata Kikteva, Kamila Gorska, Wassiliki Siskou, Annette Hautli-Janisz, and Chris Reed. 2022. The Keystone Role Played by Questions in Debate. In Proceedings of the 3rd Workshop on Computational Approaches to Discourse, pages 54–63, Gyeongju, Republic of Korea and Online. International Conference on Computational Linguistics.