natural-language-processing-19
Distractor Generation
3260 papers • 126 benchmarks • 313 datasets
Given a passage, a question, and an answer phrase, the goal of distractor generation (DG) is to generate context-related wrong options (i.e., distractor) for multiple-choice questions (MCQ).
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