UFAL-ULD at BLP-2023 Task 1: Violence Detection in Bangla Text
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10475912" target="_blank" >RIV/00216208:11320/23:10475912 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2023.banglalp-1.27/" target="_blank" >https://aclanthology.org/2023.banglalp-1.27/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2023.banglalp-1.27" target="_blank" >10.18653/v1/2023.banglalp-1.27</a>
Alternative languages
Result language
angličtina
Original language name
UFAL-ULD at BLP-2023 Task 1: Violence Detection in Bangla Text
Original language description
In this paper, we present UFAL-ULD team's system, desinged as a part of the BLP Shared Task 1: Violence Inciting Text Detection (VITD). This task aims to classify text, with a particular challenge of identifying incitement to violence into Direct, Indirect or Non-violence levels. We experimented with several pre-trained sequence classification models, including XLM-RoBERTa, BanglaBERT, Bangla BERT Base, and Multilingual BERT. Our best-performing model was based on the XLM-RoBERTa-base architecture, which outperformed the baseline models. Our system was ranked 20th among the 27 teams that participated in the task.
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
Others
Publication year
2023
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 First Workshop on Bangla Language Processing
ISBN
979-8-89176-058-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
220-224
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Singapore
Event date
Dec 6, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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