AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents
This work addresses reading comprehension facilitation for learners, but appears incremental as it integrates existing tasks without claiming major breakthroughs.
The authors tackled the problem of generating question-answer items from multi-paragraph documents to aid reading comprehension, reporting experiments that yielded improvements on both question answering and question generation tasks.
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.