Resumo (PT):
Abstract (EN):
We present an overview of CheckThat! Lab’s 2024 Task 3, which focuses on detecting 23 persuasion techniques
at the text-span level in online media. The task covers five languages, namely, Arabic, Bulgarian, English,
Portuguese, and Slovene, and highly-debated topics in the media, e.g., the Isreali–Palestian conflict, the Russia–
Ukraine war, climate change, COVID-19, abortion, etc. A total of 23 teams registered for the task, and two of
them submitted system responses which were compared against a baseline and a task organizers’ system, which
used a state-of-the-art transformer-based architecture. We provide a description of the dataset and the overall
task setup, including the evaluation methodology, and an overview of the participating systems. The datasets
accompanied with the evaluation scripts are released to the research community, which we believe will foster
research on persuasion technique detection and analysis of online media content in various fields and contexts
Idioma:
Inglês
Tipo (Avaliação Docente):
Científica
Contacto:
Disponível em: https://ceur-ws.org/Vol-3740/paper-26.pdf
Notas:
CLEF 2024 Working Notes: Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024)
Grenoble, France, 9-12 September, 2024 .
Neste artigo colaboraram mais 14 autores:
Jakub Piskorski,
Nicolas Stefanovitch,
Firoj Alam,
Ricardo Campos,
Dimitar Dimitrov,
Senja Pollak,
Nikolay Ribin,
Zoran Fijav¸,
Maram Hasanain,
Elisa Sartori,
Ana Zwitter Vitez,
Ivan Koychev,
Preslav Nakov and
Giovanni Da San Martino
Nº de páginas:
12