Distractor Generation Edit Task
Natural Language Processing • Text Generation
About
Given a passage, a question, and an answer phrase, the goal of distractor generation (DG) is to gener- ate context-related wrong options (i.e., distractor) for multiple-choice questions (MCQ).
Benchmarks
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
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Greatest papers with code
Generating Distractors for Reading Comprehension Questions from Real Examinations
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.
A BERT-based Distractor Generation Scheme with Multi-tasking and Negative Answer Training Strategies
In this paper, we investigate the following two limitations for the existing distractor generation (DG) methods.
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