DisCuT and DiscReT: MELODI at DISRPT 2025 Multilingual discourse segmentation, connective tagging and relation classification

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3ASF499AG8" target="_blank" >RIV/00216208:11320/26:SF499AG8 - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2025.disrpt-1.2/" target="_blank" >https://aclanthology.org/2025.disrpt-1.2/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

DisCuT and DiscReT: MELODI at DISRPT 2025 Multilingual discourse segmentation, connective tagging and relation classification

Original language description

This paper presents the results obtained by the MELODI team for the three tasks proposed within the DISRPT 2025 shared task on discourse: segmentation, connective identification, and relation classification. The competition involves corpora in various languages, in several underlying frameworks, and datasets are given with or without sentence segmentation. This year, for the ranked, closed track, the campaign adds as a constraint to train only one model for each task, with an upper bound on the size of the model (no more than 4B parameters).

Czech name

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Czech description

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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)

Project

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Continuities

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Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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

21-35

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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