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2020 SEMEVAL SemEval 2020

INGEOTEC at SemEval-2020 Task 12: Multilingual Classification of Offensive Text

Abstract

AbstractThis paper describes our participation in OffensEval challenges for English, Arabic, Danish, Turkish, and Greek languages. We used several approaches, such as μTC, TextCategorization, and EvoMSA. Best results were achieved with EvoMSA, which is a multilingual and domain-independent architecture that combines the prediction from different knowledge sources to solve text classification problems.

🧭 Keyword Pioneer — domain-independent architecture
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Deep Learning, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing

Authors

Sabino Miranda-Jiménez , Eric S. Tellez , Mario Graff , Daniela Moctezuma

Topics

Natural Language Processing > Applications > Text Classification Natural Language Processing > Resources & Methods > Multilingual NLP

Keywords

text categorization offensive text classification domain-independent architecture
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