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Research for Practice: Knowledge Base Construction in the Machine-Learning Era

By Alex Ratner, Chris Ré, Peter Bailis
Communications of the ACM, November 2018, Vol. 61 No. 11, Pages 95-97
10.1145/3233243
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Research for Practice, illustration — Credit: Getty Images

This installment of Research for Practice features a curated selection from Alex Ratner and Chris Ré, who provide an overview of recent developments in Knowledge Base Construction (KBC). While knowledge bases have a long history dating to the expert systems of the 1970s, recent advances in machine learning have led to a knowledge base renaissance, with knowledge bases now powering major product functionality including Google Assistant, Amazon Alexa, Apple Siri, and Wolfram Alpha. Ratner and Re's selections highlight key considerations in the modern KBC process, from interfaces that extract knowledge from domain experts to algorithms and representations that transfer knowledge across tasks. Please enjoy!
—Peter Bailis

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