Constructing High Precision Knowledge Bases with Subjective and Factual Attributes

no code implementations • 28 May 2019 • Ari Kobren, Pablo Barrio, Oksana Yakhnenko, Johann Hibschman, Ian Langmore

In this work, we develop a method for constructing KBs with tunable precision--i. e., KBs that can be made to operate at a specific false positive rate, despite storing both difficult-to-evaluate subjective attributes and more traditional factual attributes.

Attribute Vocal Bursts Intensity Prediction