SemEval 2023 Задача 3

task ID: semeval2023task3

Related Papers

CLaC at SemEval-2023 Task 3: Language Potluck RoBERTa Detects Online Persuasion Techniques in a Multilingual Setup

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper presents our approach to the SemEval-2023 Task 3 to detect online persuasion techniques in a multilingual setup. Our classification system is based on the RoBERTa-base model trained predominantly …...

24749

DSHacker at SemEval-2023 Task 3: Genres and Persuasion Techniques Detection with Multilingual Data Augmentation through Machine Translation and Text Generation

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractIn our article, we present the systems developed for SemEval-2023 Task 3, which aimed to evaluate the ability of Natural Language Processing (NLP) systems to detect genres and persuasion techniques …...

24753

MELODI at SemEval-2023 Task 3: In-domain Pre-training for Low-resource Classification of News Articles

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper describes our approach to Subtask 1 “News Genre Categorization” of SemEval-2023 Task 3 “Detecting the Category, the Framing, and the Persuasion Techniques in Online News in a Multi-lingual …...

24954

SemEval-2023 Task 3: Detecting the Category, the Framing, and the Persuasion Techniques in Online News in a Multi-lingual Setup

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractWe describe SemEval-2023 task 3 on Detecting the Category, the Framing, and the Persuasion Techniques in Online News in a Multilingual Setup: the dataset, the task organization process, the evaluation …...

24356

SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper describes our approach for SemEval- 2023 Task 3: Detecting the category, the fram- ing, and the persuasion techniques in online news in a multilingual setup. For Subtask 1 …...

24697

SinaAI at SemEval-2023 Task 3: A Multilingual Transformer Language Model-based Approach for the Detection of News Genre, Framing and Persuasion Techniques

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper describes SinaAI’s participation in SemEval-2023 Task 3, which involves detecting propaganda in news articles across multiple languages. The task comprises three sub-tasks: (i) genre detection, (ii) news framing,and …...

24671

Team QUST at SemEval-2023 Task 3: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting Online News Genre, Framing and Persuasion Techniques

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper describes the participation of team QUST in the SemEval2023 task3. The monolingual models are first evaluated with the under-sampling of the majority classes in the early stage of …...

24929

TeamAmpa at SemEval-2023 Task 3: Exploring Multilabel and Multilingual RoBERTa Models for Persuasion and Framing Detection

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper describes our submission to theSemEval 2023 Task 3 on two subtasks: detectingpersuasion techniques and framing. Bothsubtasks are multi-label classification problems. We present a set of experiments, exploring howto …...

24852

Unisa at SemEval-2023 Task 3: A SHAP-based method for Propaganda Detection

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis paper presents proposed solutions for addressing two subtasks in SemEval-2023 Task 3: “Detecting the Genre, the Framing, and the Persuasion techniques in online news in a multi-lingual setup. In …...

24848