Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks

WS 2019 Mokanarangan ThayaparanMarco ValentinoViktor SchlegelAndre Freitas

Recent advances in reading comprehension have resulted in models that surpass human performance when the answer is contained in a single, continuous passage of text. However, complex Question Answering (QA) typically requires multi-hop reasoning - i.e. the integration of supporting facts from different sources, to infer the correct answer... (read more)

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