Papers with semantic ranking

1 papers
Answering questions by learning to rank - Learning to rank by answering questions (D19-1)

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Challenge: Existing approaches to answer multiple-choice questions with no supporting documents are poor performance.
Approach: They propose a method which can be used to semantically rank documents extracted from Wikipedia . they propose 'semantic ranking' method that latently learns to rank documents by their importance .
Outcome: The proposed model achieves state-of-the-art accuracy on two datasets: ARC Easy and Challenge.

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