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