Question Generation Based on Grammar Knowledge and Fine-grained Classification (2022.coling-1)
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| Challenge: | Recent research on question generation has achieved great success, but some question types and answers did not match. |
| Approach: | They construct a question type classifier and a query generator to solve the problem of question types not matching with other questions. |
| Outcome: | The proposed model improves the accuracy of interrogative words in generated questions. |
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