  Recent studies have exploited advanced generative language models to generate
Natural Language Explanations (NLE) for why a certain text could be hateful. We
propose the Chain of Explanation (CoE) Prompting method, using the heuristic
words and target group, to generate high-quality NLE for implicit hate speech.
We improved the BLUE score from 44.0 to 62.3 for NLE generation by providing
accurate target information. We then evaluate the quality of generated NLE
using various automatic metrics and human annotations of informativeness and
clarity scores.
