@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.",
}

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.
Shahmohammadi, Sara Seemann, Hannah Stede, Manfred Scheffler, Tatjana
Encoding Discourse Structure: Comparison of RST and QUD