@inproceedings{dumitrascu-etal-2022-university,
title = "University of Bucharest Team at {S}emeval-2022 Task4: Detection and Classification of Patronizing and Condescending Language",
author = "Dumitrascu, Tudor and
G{\^\i}nga, Raluca-Andreea and
Dobre, Bogdan and
Radu Silviu Sielecki, Bogdan",
editor = "Emerson, Guy and
Schluter, Natalie and
Stanovsky, Gabriel and
Kumar, Ritesh and
Palmer, Alexis and
Schneider, Nathan and
Singh, Siddharth and
Ratan, Shyam",
booktitle = "Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)",
month = jul,
year = "2022",
address = "Seattle, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.semeval-1.70",
doi = "10.18653/v1/2022.semeval-1.70",
pages = "509--514",
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.",
}
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%0 Conference Proceedings
%T University of Bucharest Team at Semeval-2022 Task4: Detection and Classification of Patronizing and Condescending Language
%A Dumitrascu, Tudor
%A Gînga, Raluca-Andreea
%A Dobre, Bogdan
%A Radu Silviu Sielecki, Bogdan
%Y Emerson, Guy
%Y Schluter, Natalie
%Y Stanovsky, Gabriel
%Y Kumar, Ritesh
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y Singh, Siddharth
%Y Ratan, Shyam
%S Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, United States
%F dumitrascu-etal-2022-university
%X 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.
%R 10.18653/v1/2022.semeval-1.70
%U https://aclanthology.org/2022.semeval-1.70
%U https://doi.org/10.18653/v1/2022.semeval-1.70
%P 509-514
Markdown (Informal)
[University of Bucharest Team at Semeval-2022 Task4: Detection and Classification of Patronizing and Condescending Language](https://aclanthology.org/2022.semeval-1.70) (Dumitrascu et al., SemEval 2022)
ACL