In a realistic Interactive Question Answering (IQA) setting, users frequently ask follow-up questions. By modeling how the questions’ focus evolves in IQA dialogues, we want to describe what makes a particular follow-up question salient. We introduce a new focus model, and describe an implementation of an IQA system that we use for exploring our theory. To learn properties of salient focus transitions from data, we use logistic regression models that we validate on the basis of predicted answer correctness.
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