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Found 4 papers, 1 papers with code
Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities
The knowledge discovery process uses a probabilistic program defining the process of generating the data item from a set of unknown typed entities.
Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge
In this competition, participants will focus on the students' answer records to these multiple-choice diagnostic questions, with the aim of 1) accurately predicting which answers the students provide; 2) accurately predicting which questions have high quality; and 3) determining a personalized sequence of questions for each student that best predicts the student's answers.
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care
However, flexible tools such as artificial neural networks (ANNs) suffer from a lack of interpretability limiting their acceptability to clinicians.
Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program
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.
