Details zu Publikationen

SemEval-2020 Task 11

Detection of Propaganda Techniques in News Articles

verfasst von
Giovanni da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, Rostislav Petrov, Preslav Nakov
Abstract

We present the results and the main findings of SemEval-2020 Task 11 on Detection of Propaganda Techniques in News Articles. The task featured two subtasks. Subtask SI is about Span Identification: given a plain-text document, spot the specific text fragments containing propaganda. Subtask TC is about Technique Classification: given a specific text fragment, in the context of a full document, determine the propaganda technique it uses, choosing from an inventory of 14 possible propaganda techniques. The task attracted a large number of participants: 250 teams signed up to participate and 44 made a submission on the test set. In this paper, we present the task, analyze the results, and discuss the system submissions and the methods they used. For both subtasks, the best systems used pre-trained Transformers and ensembles.

Externe Organisation(en)
Qatar Computing Research institute
Università di Bologna
Universität Paderborn
A Data Pro
Typ
Aufsatz in Konferenzband
Seiten
1377-1414
Anzahl der Seiten
38
Publikationsdatum
12.2020
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Theoretische Informatik, Theoretische Informatik und Mathematik, Angewandte Informatik
Elektronische Version(en)
https://doi.org/10.48550/arXiv.2009.02696 (Zugang: Offen)
https://doi.org/10.18653/v1/2020.semeval-1.186 (Zugang: Offen)