Controllable Open-ended Question Generation with A New Question Type Ontology (2021.acl-long)
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| Challenge: | Existing question types are limited to generating multiple-sense questions . we present a question type-aware question generation framework to generate open-ended questions based on multiple-phrase questions - a task that is less explored . |
| Approach: | They propose a question type-aware question generation framework which predicts question focuses and produces the question. |
| Outcome: | The proposed model improves question quality over competitive comparisons on large-scale datasets. |
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| Challenge: | Existing QG systems perform substantially worse in answering multi-hop questions than single-hop ones. |
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Question Generation Using Sequence-to-Sequence Model with Semantic Role Labels (2023.eacl-main)
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| Challenge: | Existing question generation methods that generate multiple questions from text are labor-intensive and do not capture the complexity of ways a human asks questions. |
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