Papers with question-asking strategies

2 papers
A Taxonomy of Empathetic Questions in Social Dialogs (2022.acl-long)

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Challenge: Current dialog generation approaches do not model effective question-asking due to the lack of a taxonomy of questions and their purpose in social chitchat.
Approach: They propose to model questions' ability to capture communicative acts and their emotion-regulation intents by annotating a large dataset with established labels.
Outcome: The proposed model can be used to generate labels for the EmpatheticDialogues dataset and to further improve the existing models.
Learning to Ask for Conversational Machine Learning (D19-1)

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Challenge: Empirical analysis across three domains shows that learned question-asking strategies expedite classifier training by asking appropriate questions at different points in the learning process.
Approach: They propose a reinforcement learning framework where the learner’s actions correspond to question types and the reward for asking a question is based on how the teacher’s response changes performance of the resulting machine learning model.
Outcome: The proposed framework outperforms a random policy on learning classification tasks, but the dialog looks contrived from a human perspective.

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