MetaTox constructs a meta-toxic knowledge graph from toxic corpora and injects retrieved triplets into LLM prompts, improving toxicity detection and lowering false positives, especially out-of-domain.
UIT-ISE-NLP at SemEval-2021 Task 5: Toxic Spans Detection with BiLSTM-CRF and ToxicBERT Comment Classification
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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.
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Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph
MetaTox constructs a meta-toxic knowledge graph from toxic corpora and injects retrieved triplets into LLM prompts, improving toxicity detection and lowering false positives, especially out-of-domain.