SeCoRel: Multilingual Discourse Analysis in DISRPT 2025

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3ANLS6ZKSX" target="_blank" >RIV/00216208:11320/26:NLS6ZKSX - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2025.disrpt-1.6/" target="_blank" >https://aclanthology.org/2025.disrpt-1.6/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

SeCoRel: Multilingual Discourse Analysis in DISRPT 2025

Original language description

The work presented here describes our participation in DISRPT 2025 shared task in three tasks, Task1: Discourse Unit Segmentation across Formalisms, Task 2: Discourse Connective Identification across Languages and Task 3: Discourse Relation Classification across Formalisms. We have fine-tuned XLM-RoBERTa, a language model to address these three tasks. We have come up with one single multilingual language model for each task. Our system handles data in both the formats .conllu and .tok and different discourse formalisms. We have obtained encouraging results. The performance on test data in the three tasks is similar to the results obtained for the development data.

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

ISBN

979-8-89176-344-9

ISSN

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e-ISSN

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Number of pages

8

Pages from-to

79-86

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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