2021 · 10 citations · 23 references
ComputingComputer ScienceComputational LinguisticsNatural Language ProcessingReading ComprehensionItem GenerationNatural Language GenerationNatural Language UnderstandingQuestion AnsweringText ComprehensionText GenerationQuestion Answering SystemsQuestion Answering Systems EvaluationQuestion Generation
One strategy for facilitating reading comprehension is to present information in a questionand-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.
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SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev et al. · 2016 · 6.3K citations · Full text
Reading Wikipedia to Answer Open-Domain Questions
Danqi Chen, Adam Fisch, Jason Weston et al. · 2017 · 1.4K citations · Full text