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 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.
@article{arxiv.2104.10100,
title = {UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification},
author = {Son T. Luu and Ngan Luu-Thuy Nguyen},
journal= {arXiv preprint arXiv:2104.10100},
year = {2021}
}
Comments
Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)