University of Bucharest Team at Semeval-2022 Task4: Detection and Classification of Patronizing and Condescending Language

Tudor Dumitrascu, Raluca-Andreea Gînga, Bogdan Dobre, Bogdan Radu Silviu Sielecki


Abstract
This paper details our implementations for finding Patronizing and Condescending Language in texts, as part of the SemEval Workshop Task 4. We have used a variety of methods from simple machine learning algorithms applied on bag of words, all the way to BERT models, in order to solve the binary classification and the multi-label multi-class classification.
Anthology ID:
2022.semeval-1.70
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:
509–514
Language:
URL:
https://aclanthology.org/2022.semeval-1.70
DOI:
10.18653/v1/2022.semeval-1.70
Bibkey:
Cite (ACL):
Tudor Dumitrascu, Raluca-Andreea Gînga, Bogdan Dobre, and Bogdan Radu Silviu Sielecki. 2022. University of Bucharest Team at Semeval-2022 Task4: Detection and Classification of Patronizing and Condescending Language. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 509–514, Seattle, United States. Association for Computational Linguistics.
Cite (Informal):
University of Bucharest Team at Semeval-2022 Task4: Detection and Classification of Patronizing and Condescending Language (Dumitrascu et al., SemEval 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.semeval-1.70.pdf