Papers with question-type identification

1 papers
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards (2021.acl-short)

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Challenge: Existing methods for summarizing long questions are difficult due to the lack of training data and the complexity of the related subtasks.
Approach: They propose a reinforcement learning-based framework for abstractive question summarization that rewards question-type identification and question-focus recognition for regularizing the question generation model.
Outcome: The proposed method achieves higher performance over state-of-the-art models on two benchmark datasets.

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