  The increment of toxic comments on online space is causing tremendous effects
on other vulnerable users. For this reason, considerable efforts are made to
deal with this, and SemEval-2021 Task 5: Toxic Spans Detection is one of those.
This task asks competitors to extract spans that have toxicity from the given
texts, and we have done several analyses to understand its structure before
doing experiments. We solve this task by two approaches, Named Entity
Recognition with spaCy library and Question-Answering with RoBERTa combining
with ToxicBERT, and the former gains the highest F1-score of 66.99%.

Computation and Language