Search Results for author: Anastasiia Sedova

Found 2 papers, 1 papers with code

ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision

no code implementations14 Apr 2022 Anastasiia Sedova, Benjamin Roth

A way to overcome expensive and time-consuming manual data labeling is weak supervision - automatic annotation of data samples via a predefined set of labeling functions (LFs), rule-based mechanisms that generate potentially erroneous labels.


Knodle: Modular Weakly Supervised Learning with PyTorch

1 code implementation ACL (RepL4NLP) 2021 Anastasiia Sedova, Andreas Stephan, Marina Speranskaya, Benjamin Roth

Strategies for improving the training and prediction quality of weakly supervised machine learning models vary in how much they are tailored to a specific task or integrated with a specific model architecture.

BIG-bench Machine Learning Sentiment Analysis +1

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