Data Programming
Related Papers
Data Programming for Learning Discourse Structure
AbstractThis paper investigates the advantages and limits of data programming for the task of learning discourse structure. The data programming paradigm implemented in the Snorkel framework allows a user to …...
Ruler: Data Programming by Demonstration for Document Labeling
AbstractData programming aims to reduce the cost of curating training data by encoding domain knowledge as labeling functions over source data. As such it not only requires domain expertise but …...
Semi-Supervised Data Programming with Subset Selection
The paradigm of data programming, which uses weak supervision in the form of rules/labelling functions, and semi-supervised learning, which augments small amounts of labelled data with a large unlabelled dataset, …...
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming
AbstractA critical bottleneck in supervised machine learning is the need for large amounts of labeled data which is expensive and time-consuming to obtain. Although a small amount of labeled data …...