Chain of Explanation: New Prompting Method to Generate Quality Natural Language Explanation for Implicit Hate Speech
Fan Huang, Haewoon Kwak, Jisun An
Abstract
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.
Topics & Concepts
Computer scienceCLARITYQuality (philosophy)Natural language processingNatural languageHeuristicArtificial intelligenceNatural (archaeology)Natural language generationLanguage modelGenerative grammarSpeech recognitionChemistryArchaeologyHistoryEpistemologyBiochemistryPhilosophyExplainable Artificial Intelligence (XAI)Topic ModelingAdversarial Robustness in Machine Learning