Using Natural Language to Integrate, Evaluate, and Optimize Extracted Knowledge BasesDownload PDF

28 Mar 2024 (modified: 29 Jun 2013)AKBC 2013 submissionReaders: Everyone
Decision: conferencePoster
Abstract: Web Information Extraction (WIE) systems can extract billions of unique facts, but integrating the assertions into a coherent knowledge base and evaluating across different WIE techniques remains a challenge. We propose a framework that utilizes natural language to integrate and evaluate extracted knowledge bases (KBs). In the framework, KBs are integrated by exchanging probability distributions over natural language,and evaluated by how well the output distributions predict held-out text. We describe the advantages of the approach, and detail remaining research challenges.
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