LastResort at SemEval-2022 Task 4: Towards Patronizing and Condescending Language Detection using Pre-trained Transformer Based Models Ensembles

Samyak Agrawal, Radhika Mamidi


Abstract
This paper presents our solutions systems for Task4 at SemEval2022: Patronizing and Condescending Language Detection. This shared task contains two sub-tasks. The first sub-task is a binary classification task whose goal is to predict whether a given paragraph contains any form of patronising or condescending language(PCL). For the second sub-task, given a paragraph, we have to find which PCL categories express the condescension. Here we have a total of 7 overlapping sub-categories for PCL. Our proposed solution uses BERT based ensembled models with hard voting and techniques applied to take care of class imbalances. Our paper describes the system architecture of the submitted solution and other experiments that we conducted.
Anthology ID:
2022.semeval-1.45
Volume:
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
Month:
July
Year:
2022
Address:
Seattle, United States
Editors:
Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
352–356
Language:
URL:
https://aclanthology.org/2022.semeval-1.45
DOI:
10.18653/v1/2022.semeval-1.45
Bibkey:
Cite (ACL):
Samyak Agrawal and Radhika Mamidi. 2022. LastResort at SemEval-2022 Task 4: Towards Patronizing and Condescending Language Detection using Pre-trained Transformer Based Models Ensembles. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 352–356, Seattle, United States. Association for Computational Linguistics.
Cite (Informal):
LastResort at SemEval-2022 Task 4: Towards Patronizing and Condescending Language Detection using Pre-trained Transformer Based Models Ensembles (Agrawal & Mamidi, SemEval 2022)
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PDF:
https://aclanthology.org/2022.semeval-1.45.pdf