[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
A curated list of programmatic weak supervision papers and resources
SPEAR: Programmatically label and build training data quickly.
Data programming by demonstration for information extraction and span annotation
Data Programming by Demonstration (DPBD) for Document Classification
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
Source code for the CSE 163: Intermediate Data Programming book (with code for practice problems)
Code for the KDD-2023 paper: Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler
Mongolian Polarity Detection in Weakly Supervised manner
This repository contains source code of our ACL 2021 paper **Data Programming using Semi-Supervision and Subset Selection**
A tool for automatically labelling discharge summaries into disease categories.
Source code of our ACL 2022 paper 'Learning to robustly aggregate labeling functions for semi-supervised data programming'
Process flow to generate labels on Text data using Snorkel and maintain DB to repurpose unlabelled data
An approach to curating naturally adversarial datasets.
Prepare a data set based on the model that you already have, then experiment with 'training' your 'Machine Learning' tool on this data. Did it recognize the model? Sorry, that was a stupid question. Why didn't it? You can find out with the help of these tools here.
One common repo for all of my R projects
F# tutorial: building applications, data programming and tests
Add a description, image, and links to the data-programming topic page so that developers can more easily learn about it.
To associate your repository with the data-programming topic, visit your repo's landing page and select "manage topics."