HITS at DISRPT 2025: Discourse Segmentation, Connective Detection, and 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%3APWUA9VQP" target="_blank" >RIV/00216208:11320/26:PWUA9VQP - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2025.disrpt-1.5/" target="_blank" >https://aclanthology.org/2025.disrpt-1.5/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
HITS at DISRPT 2025: Discourse Segmentation, Connective Detection, and Relation Classification
Original language description
This paper describes the submission of the HITS team to the DISRPT 2025 shared task. The shared task includes three sub-tasks: (1) discourse unit segmentation across formalisms, (2) cross-lingual discourse connective iden- tification, and (3) cross-formalism discourse relation classification.
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
ISBN
979-8-89176-344-9
ISSN
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e-ISSN
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Number of pages
16
Pages from-to
63-78
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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