eRST: A Signaled Graph Theory of Discourse Relations and Organization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AC9PRDZAE" target="_blank" >RIV/00216208:11320/26:C9PRDZAE - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1162/coli_a_00538" target="_blank" >http://dx.doi.org/10.1162/coli_a_00538</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1162/coli_a_00538" target="_blank" >10.1162/coli_a_00538</a>
Alternative languages
Result language
angličtina
Original language name
eRST: A Signaled Graph Theory of Discourse Relations and Organization
Original language description
In this article we present Enhanced Rhetorical Structure Theory (eRST), a new theoretical framework for computational discourse analysis, based on an expansion of Rhetorical Structure Theory (RST). The framework encompasses discourse relation graphs with tree-breaking, non-projective and concurrent relations, as well as implicit and explicit signals which give explainable rationales to our analyses. We survey shortcomings of RST and other existing frameworks, such as Segmented Discourse Representation Theory, the Penn Discourse Treebank, and Discourse Dependencies, and address these using constructs in the proposed theory. We provide annotation, search, and visualization tools for data, and present and evaluate a freely available corpus of English annotated according to our framework, encompassing 12 spoken and written genres with over 200K tokens. Finally, we discuss automatic parsing, evaluation metrics, and applications for data in our framework. © 2024 Association for Computational Linguistics. Published under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computational Linguistics
ISSN
0891-2017
e-ISSN
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Volume of the periodical
51
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
50
Pages from-to
23-72
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105010250227