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2020 SEMEVAL SemEval 2020

I2C at SemEval-2020 Task 12: Simple but Effective Approaches to Offensive Speech Detection in Twitter

Abstract

AbstractThis paper describes the systems developed for I2C Group to participate on Subtasks A and B in English, and Subtask A in Turkish and Arabic in OffensEval (Task 12 of SemEval 2020). In our experiments we compare three architectures we have developed, two based on Transformer and the other based on classical machine learning algorithms. In this paper, the proposed architectures are described, and the results obtained by our systems are presented.

🌉 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

Victoria Pachón Álvarez , Jacinto Mata Vázquez , José Manuel López Betanzos , José Luis Arjona Fernández

Topics

Artificial Intelligence > Core AI > Multimodal Learning Machine Learning > Core Methods > Classification

Keywords

text classification multilingual model offensive speech detection transformer model neural network
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