Work

Encoding Discourse Structure: Comparison of RST and QUD

Year: 2023

Type: conference-paper

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.

DOI: 10.18653/v1/2023.codi-1.11

Authors: Sara Shahmohammadi, Hannah Seemann, Manfred Stede, Tatjana Scheffler

Institutions: University of Potsdam, Ruhr University Bochum

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funder: Deutsche Forschungsgemeinschaft

Awards: SFB 1287: Die Grenzen der Variabilität in der Sprache: Kognitive, grammatische und soziale Aspekte, G6914310122

OpenAlex ID: W4385571402