A dataset and baselines for sequential open-domain question answering
Previous work on question-answering systems mainly focuses on answering individual questions, assuming they are independent and devoid of context. Instead, we investigate sequential question answering, asking multiple related questions. We present QBLink, a new dataset of fully human-authored questions. We extend existing strong question answering frameworks to include previous questions to improve the overall question-answering accuracy in open-domain question answering. The dataset is publicly available at \url{http://sequential.qanta.org}.
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Information RetrievalOpen-Domain Question AnsweringQuestion AnsweringReading ComprehensionSimilar Papers 제목 키워드 기반
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