Hierarchical Classification of Propaganda Techniques in Slavic Texts in Hyperbolic Space
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511575" target="_blank" >RIV/00216208:11320/25:10511575 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2025.bsnlp-1.21/" target="_blank" >https://aclanthology.org/2025.bsnlp-1.21/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Hierarchical Classification of Propaganda Techniques in Slavic Texts in Hyperbolic Space
Original language description
Classification problems can often be tackled by modeling label hierarchies with broader categories in a graph and solving the task via node classification. While recent advances have shown that hyperbolic space is more suitable than Euclidean space for learning graph representations, this concept has yet to be applied to text classification, where node features first need to be extracted from text embeddings. A prototype of such an architecture is this contribution to the Slavic NLP 2025 shared task on the multi-label classification of persuasion techniques in parliamentary debates and social media posts. We do not achieve state-of-the-art performance, but outline the benefits of this hierarchical node classification approach and the advantages of hyperbolic graph embeddings.
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
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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 10th Workshop on Slavic Natural Language Processing
ISBN
978-1-959429-57-9
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
183-189
Publisher name
Association for Computational Linguistics
Place of publication
Kerrville, TX, USA
Event location
Wien, Austria
Event date
Jul 31, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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