Papers with APVA framework

1 papers
The APVA-TURBO Approach To Question Answering in Knowledge Base (C18-1)

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Challenge: Existing query languages for question answering over knowledge bases are not capable of processing queries presented in human language directly.
Approach: They advocate a new model architecture that includes a verification mechanism for checking the correctness of predicted relations.
Outcome: The proposed approach dramatically improves the question answering performance.

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