@inproceedings{shahmohammadi-etal-2023-encoding,
title = "Encoding Discourse Structure: Comparison of {RST} and {QUD}",
author = "Shahmohammadi, Sara and
Seemann, Hannah and
Stede, Manfred and
Scheffler, Tatjana",
editor = "Strube, Michael and
Braud, Chloe and
Hardmeier, Christian and
Li, Junyi Jessy and
Loaiciga, Sharid and
Zeldes, Amir",
booktitle = "Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.codi-1.11",
doi = "10.18653/v1/2023.codi-1.11",
pages = "89--98",
abstract = "We present a quantitative and qualitative comparison of the discourse trees defined by the Rhetorical Structure Theory and Questions under Discussion models. Based on an empirical analysis of parallel annotations for 28 texts (blog posts and podcast transcripts), we conclude that both discourse frameworks capture similar structural information. The qualitative analysis shows that while complex discourse units often match between analyses, QUD structures do not indicate the centrality of segments.",
}
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%0 Conference Proceedings
%T Encoding Discourse Structure: Comparison of RST and QUD
%A Shahmohammadi, Sara
%A Seemann, Hannah
%A Stede, Manfred
%A Scheffler, Tatjana
%Y Strube, Michael
%Y Braud, Chloe
%Y Hardmeier, Christian
%Y Li, Junyi Jessy
%Y Loaiciga, Sharid
%Y Zeldes, Amir
%S Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F shahmohammadi-etal-2023-encoding
%X We present a quantitative and qualitative comparison of the discourse trees defined by the Rhetorical Structure Theory and Questions under Discussion models. Based on an empirical analysis of parallel annotations for 28 texts (blog posts and podcast transcripts), we conclude that both discourse frameworks capture similar structural information. The qualitative analysis shows that while complex discourse units often match between analyses, QUD structures do not indicate the centrality of segments.
%R 10.18653/v1/2023.codi-1.11
%U https://aclanthology.org/2023.codi-1.11
%U https://doi.org/10.18653/v1/2023.codi-1.11
%P 89-98
Markdown (Informal)
[Encoding Discourse Structure: Comparison of RST and QUD](https://aclanthology.org/2023.codi-1.11) (Shahmohammadi et al., CODI 2023)
ACL
- Sara Shahmohammadi, Hannah Seemann, Manfred Stede, and Tatjana Scheffler. 2023. Encoding Discourse Structure: Comparison of RST and QUD. In Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023), pages 89–98, Toronto, Canada. Association for Computational Linguistics.