PROTEGE: Prompt-based Diverse Question Generation from Web Articles (2023.findings-emnlp)
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| Challenge: | a popular format for knowledge bases is question-answer pairs (Q&As) specialized knowledge bases that extract and store question-annwer pairs are prevalent . |
| Approach: | They propose a framework for question generation that generates diverse questions from text . they propose 'protege' framework that can generate diverse questions using a variety of prompts . |
| Outcome: | The proposed framework improves diversity and fidelity over diverse beam search and prompt-based baselines on three public Q&A datasets. |
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