DeDisCo at the DISRPT 2025 Shared Task: A System for Discourse Relation Classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3ARVFA9Q3Z" target="_blank" >RIV/00216208:11320/26:RVFA9Q3Z - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2025.disrpt-1.4/" target="_blank" >https://aclanthology.org/2025.disrpt-1.4/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2025.disrpt-1.4" target="_blank" >10.18653/v1/2025.disrpt-1.4</a>
Alternative languages
Result language
angličtina
Original language name
DeDisCo at the DISRPT 2025 Shared Task: A System for Discourse Relation Classification
Original language description
This paper presents DeDisCo, Georgetown University’s entry in the DISRPT 2025 shared task on discourse relation classification. We test two approaches, using an mt5-based encoder and a decoder based approach using the openly available Qwen model. We also experiment on training with augmented dataset for low-resource languages using matched data translated automatically from English, as well as using some additional linguistic features inspired by entries in previous editions of the Shared Task. Our system achieves a macro-accuracy score of 71.28, and we provide some interpretation and error analysis for our results.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
Article name in the collection
Proceedings of the 4th Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2025)
ISBN
979-8-89176-344-9
ISSN
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e-ISSN
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Number of pages
15
Pages from-to
48-62
Publisher name
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Place of publication
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Event location
Suzhou, China
Event date
Jan 1, 2026
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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