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2021 SemEval SemEval 2021

UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification

Abstract

AbstractWe present our works on SemEval-2021 Task 5 about Toxic Spans Detection. This task aims to build a model for identifying toxic words in whole posts. We use the BiLSTM-CRF model combining with ToxicBERT Classification to train the detection model for identifying toxic words in posts. Our model achieves 62.23% by F1-score on the Toxic Spans Detection task.

Authors

Son T. Luu, Ngan Nguyen

Topics

Machine Learning > Core Methods > Classification Machine Learning > Learning Types > Weakly Supervised Learning Deep Learning > Architectures > Transformers Deep Learning > Architectures > Neural Networks

Keywords

transfer learning sequence labeling text classification named entity recognition conditional random field bidirectional lstm toxic span detection comment classification
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