@inproceedings{roemmele-etal-2021-answerquest,
    title = "{A}nswer{Q}uest: A System for Generating Question-Answer Items from Multi-Paragraph Documents",
    author = "Roemmele, Melissa  and
      Sidhpura, Deep  and
      DeNeefe, Steve  and
      Tsou, Ling",
    editor = "Gkatzia, Dimitra  and
      Seddah, Djam{\'e}",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2021.eacl-demos.6/",
    doi = "10.18653/v1/2021.eacl-demos.6",
    pages = "40--52",
    abstract = "One strategy for facilitating reading comprehension is to present information in a question-and-answer format. We demo a system that integrates the tasks of question answering (QA) and question generation (QG) in order to produce Q{\&}A items that convey the content of multi-paragraph documents. We report some experiments for QA and QG that yield improvements on both tasks, and assess how they interact to produce a list of Q{\&}A items for a text. The demo is accessible at qna.sdl.com."
}