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2021 ACL ACL 2021

macech at SemEval-2021 Task 5: Toxic Spans Detection

Abstract

AbstractToxic language is often present in online forums, especially when politics and other polarizing topics arise, and can lead to people becoming discouraged from joining or continuing conversations. In this paper, we use data consisting of comments with the indices of toxic text labelled to train an RNN to deter-mine which parts of the comments make them toxic, which could aid online moderators. We compare results using both the original dataset and an augmented set, as well as GRU versus LSTM RNN models.

🌉 Interdisciplinary Bridge — Deep Learning 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

Maggie Cech

Topics

Machine Learning > Core Methods > Classification Machine Learning > Application Areas > Data Augmentation Deep Learning > Architectures > Neural Networks

Keywords

sequence labeling text classification data augmentation toxicity detection toxic content detection token classification long short-term memory recurrent neural network gated recurrent unit toxic language detection toxic span detection span detection toxic detection
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