Before revision:  In this paper, we present a model that aggregates and combines evidence from multiple passages to generate question-answer pairs . Particularly, our model reads a large number of passages to find as many interpretations as possible.
After revision:  In this paper, we present a model that aggregates and combines evidence from multiple passages to generate question-answer pairs for ambiguous questions.