Distractor Generation
13 papers with code • 1 benchmarks • 2 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).
RACE
SciQ
Latest papers
A BERT-based Distractor Generation Scheme with Multi-tasking and Negative Answer Training Strategies
voidful/BDG
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In this paper, we investigate the following two limitations for the existing distractor generation (DG) methods.
Generating Distractors for Reading Comprehension Questions from Real Examinations
Evan-Gao/Distractor-Generation-RACE
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We investigate the task of distractor generation for multiple choice reading comprehension questions from examinations.
Distractor Generation for Multiple Choice Questions Using Learning to Rank
We investigate how machine learning models, specifically ranking models, can be used to select useful distractors for multiple choice questions.
