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2023 SemEval SemEval 2023

MLModeler5 at SemEval-2023 Task 3: Detecting the Category and the Framing Techniques in Online News in a Multi-lingual Setup

Abstract

AbstractSystem Description Paper for Task 3 Subtask 1 and 2 of Semeval 2023. The paper describes our approach to handling the News Genre Categorisation and Framing Detection using RoBERTa and ALBERT models.

Authors

Arjun Khanchandani, Nitansh Jain, Jatin Bedi

Topics

Natural Language Processing > Applications > Text Classification Natural Language Processing > Resources & Methods > Multilingual NLP

Keywords

text classification multilingual nlp news framing detection
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