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2020 SEMEVAL SemEval 2020

SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

Abstract

AbstractWe present the results and the main findings of SemEval-2020 Task 12 on Multilingual Offensive Language Identification in Social Media (OffensEval-2020). The task included three subtasks corresponding to the hierarchical taxonomy of the OLID schema from OffensEval-2019, and it was offered in five languages: Arabic, Danish, English, Greek, and Turkish. OffensEval-2020 was one of the most popular tasks at SemEval-2020, attracting a large number of participants across all subtasks and languages: a total of 528 teams signed up to participate in the task, 145 teams submitted official runs on the test data, and 70 teams submitted system description papers.

🌉 Interdisciplinary Bridge — Computer Science 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, Security & Privacy, Speech & Audio

Authors

Marcos Zampieri , Preslav Nakov , Sara Rosenthal , Pepa Atanasova , Georgi Karadzhov , Hamdy Mubarak , Leon Derczynski , Zeses Pitenis , Çağrı Çöltekin

Topics

Machine Learning > Core Methods > Classification Computer Science > Applications > Document Analysis

Keywords

text classification information retrieval offensive language detection social media offensive language identification
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