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

Son T. Luu, Ngan Nguyen


Abstract
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.
Anthology ID:
2021.semeval-1.113
Volume:
Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | IJCNLP | SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
846–851
Language:
URL:
https://aclanthology.org/2021.semeval-1.113
DOI:
10.18653/v1/2021.semeval-1.113
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/2021.semeval-1.113.pdf
Code
 sonlam1102/toxic-spans-detection-bilstm_crf