Papers by Amit Gurdasani

1 papers
Demand-Weighted Completeness Prediction for a Knowledge Base (N18-3)

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Challenge: Knowledge Bases (KBs) are widely used for representing information in a structured format.
Approach: They propose a method to measure Demand-Weighted Completeness by defining an entity by its classes and using usage data to predict relation distributions.
Outcome: The proposed method can be used to estimate completeness of knowledge bases based on how they are used and can quantify usage and completeness changes over time.

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