Automatic Distractor Generation for Multiple Choice Questions in Standard Tests
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International Committee on Computational Linguistics
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. SExpSMA-based T5: Serial exponential-slime mould algorithm based T5 model for question answer and distractor generation;Intelligent Decision Technologies;2024-06-07
2. Distractor Generation Through Text-to-Text Transformer Models;IEEE Access;2024
3. A novel approach to generate distractors for Multiple Choice Questions;Expert Systems with Applications;2023-09
4. AGeES: Automatic Multiple Choice Question (MCQ) Generation from Extractive Summary of Video Lectures Using BertSum;Lecture Notes in Educational Technology;2023
5. Weak Positive Sampling and Soft Smooth Labeling for Distractor Generation Data Augmentation;Lecture Notes in Computer Science;2023
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