Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities

no code implementations • AKBC 2021 • John Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Mishkov, Alex Spengler, Denise Wilkins, Sian Lindley, Richard Banks, Sam Webster, Yordan Zaykov

The knowledge discovery process uses a probabilistic program defining the process of generating the data item from a set of unknown typed entities.

Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program

no code implementations • AKBC 2019 • John Winn, John Guiver, Sam Webster, Yordan Zaykov, Martin Kukla, Dany Fabian

The use of a probabilistic program allows uncertainty in the text to be propagated through to the retrieved facts, which increases accuracy and helps merge facts from multiple sources.

Vocal Bursts Intensity Prediction

Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems

no code implementations • 21 Oct 2015 • Matteo Venanzi, John Guiver, Pushmeet Kohli, Nick Jennings

To relate the quality of a judgment to the time a worker spends on a task, our model assumes that each task is completed within a latent time window within which all workers with a propensity to genuinely attempt the labelling task (i. e., no spammers) are expected to submit their judgments.

Bayesian Inference Entity Linking +1