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2022 SEMEVAL SemEval 2022

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

Abstract

AbstractThis 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.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Machine Learning
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

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

Topics

Artificial Intelligence > Learning Paradigms > Transfer Learning Machine Learning > Core Methods > Classification

Keywords

transfer learning text classification multi-label classification bag of word
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