Encoding Discourse Structure: Comparison of RST and QUD
Sara Shahmohammadi, Hannah Seemann, Manfred Stede, Tatjana Scheffler
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.- Anthology ID:
- 2023.codi-1.11
- Volume:
- Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Michael Strube, Chloe Braud, Christian Hardmeier, Junyi Jessy Li, Sharid Loaiciga, Amir Zeldes
- Venue:
- CODI
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 89–98
- Language:
- URL:
- https://aclanthology.org/2023.codi-1.11
- DOI:
- 10.18653/v1/2023.codi-1.11
- Cite (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.
- Cite (Informal):
- Encoding Discourse Structure: Comparison of RST and QUD (Shahmohammadi et al., CODI 2023)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2023.codi-1.11.pdf