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2020 COLING COLING 2020

SINAI at SemEval-2020 Task 12: Offensive Language Identification Exploring Transfer Learning Models

Abstract

AbstractThis paper describes the participation of SINAI team at Task 12: OffensEval 2: Multilingual Offensive Language Identification in Social Media. In particular, the participation in Sub-task A in English which consists of identifying tweets as offensive or not offensive. We preprocess the dataset according to the language characteristics used on social media. Then, we select a small set from the training set provided by the organizers and fine-tune different Transformerbased models in order to test their effectiveness. Our team ranks 20th out of 85 participants in Subtask-A using the XLNet model.

🌉 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

Flor Miriam Plaza del Arco , M. Dolores Molina González , Alfonso Ureña-López , Maite Martin

Topics

Artificial Intelligence > Core AI > Multimodal Learning Artificial Intelligence > Learning Paradigms > Transfer Learning Machine Learning > Core Methods > Classification Machine Learning > Learning Types > Transfer Learning

Keywords

transfer learning sentiment analysis text classification social media analysis offensive language detection social media social media text transformer model offensive language identification
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