Distractor Generation

3 papers with code · Natural Language Processing
Subtask of Text Generation

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).

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Greatest papers with code

Generating Distractors for Reading Comprehension Questions from Real Examinations

8 Sep 2018Evan-Gao/Distractor-Generation-RACE

We investigate the task of distractor generation for multiple choice reading comprehension questions from examinations.

DISTRACTOR GENERATION READING COMPREHENSION

Distractor Generation for Multiple Choice Questions Using Learning to Rank

WS 2018 harrylclc/LTR-DG

We investigate how machine learning models, specifically ranking models, can be used to select useful distractors for multiple choice questions.

DISTRACTOR GENERATION LEARNING-TO-RANK

A BERT-based Distractor Generation Scheme with Multi-tasking and Negative Answer Training Strategies

12 Oct 2020voidful/BDG

In this paper, we investigate the following two limitations for the existing distractor generation (DG) methods.

DISTRACTOR GENERATION