SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles

09/06/2020
by   G. Da San Martino, et al.
0

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.

READ FULL TEXT

page 6

page 9

page 10

page 12

page 13

page 15

page 16

page 28

research
09/11/2020

UPB at SemEval-2020 Task 11: Propaganda Detection with Domain-Specific Trained BERT

Manipulative and misleading news have become a commodity for some online...
research
04/25/2021

SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images

We describe SemEval-2021 task 6 on Detection of Persuasion Techniques in...
research
06/27/2021

WVOQ at SemEval-2021 Task 6: BART for Span Detection and Classification

A novel solution to span detection and classification is presented in wh...
research
04/02/2016

Overlay Text Extraction From TV News Broadcast

The text data present in overlaid bands convey brief descriptions of new...
research
05/16/2020

ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them

This paper presents the winning system for the propaganda Technique Clas...
research
07/21/2020

newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations For Propaganda Classification

This paper describes our submissions to SemEval 2020 Task 11: Detection ...

Please sign up or login with your details

Forgot password? Click here to reset