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

Arjun Khanchandani, Nitansh Jain, Jatin Bedi

Abstract
System 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.
Anthology ID:
2023.semeval-1.151
Volume:
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Atul Kr. Ojha, A. Seza Doğruöz, Giovanni Da San Martino, Harish Tayyar Madabushi, Ritesh Kumar, Elisa Sartori
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
1096–1101
Language:
URL:
https://aclanthology.org/2023.semeval-1.151
DOI:
10.18653/v1/2023.semeval-1.151
Bibkey:
Cite (ACL):
Arjun Khanchandani, Nitansh Jain, and Jatin Bedi. 2023. MLModeler5 at SemEval-2023 Task 3: Detecting the Category and the Framing Techniques in Online News in a Multi-lingual Setup. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 1096–1101, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
MLModeler5 at SemEval-2023 Task 3: Detecting the Category and the Framing Techniques in Online News in a Multi-lingual Setup (Khanchandani et al., SemEval 2023)
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