Papers with Document Graph Network

1 papers
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks (D19-53)

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Challenge: 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.
Approach: They propose a document-structured message passing architecture for the identification of supporting facts over a graph-structure based representation of text.
Outcome: The proposed model outperforms a baseline reading comprehension test on raw text and shows that it is relevant for multi-hop reasoning.

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