Papers by Lauren Lutz Coleman
Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask (2022.findings-acl)
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| Challenge: | Existing Question Generation systems focus on extractive questions and do not control the type of questions. |
| Approach: | They propose a question generation model that generates inferential questions from text . they propose he model can generate questions annotated with story-based reading comprehension skills . |
| Outcome: | The proposed model outperforms baselines on a reading comprehension dataset. |