shows the effectiveness of different components in our model. Finally, we apply our question generation framework to produce a corpus of 1.26 million question-answer pairs, which we hope will benefit the QA research community. It would also be interesting to apply our approach to incorporating coreference knowledge to other text generation tasks.

Acknowledgments {#acknowledgments .unnumbered}
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We thank the anonymous reviewers and members of Cornell NLP group for helpful comments.

Supplementary Materials
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Example Question-Answer Pairs from the Corpus
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We provide more examples of QA pairs from the corpus, the red answer spans correspond to the questions in order.

**Paragraph 2** France has long been a global centre of art, science, and philosophy. It hosts Europe’s fourth-largest number of cultural UNESCO World Heritage Sites and receives around foreign tourists annually, the most of any country in the world. France is a developed country with the world’s sixth-largest economy by and ninth-largest by purchasing power parity. In terms of aggregate household wealth, it ranks fourth in the world. France performs well in international rankings of education, health care, life expectancy, and human development. France remains a great power in the world, being a founding member of the United Nations, where 