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Found 3 papers, 3 papers with code
ReInform: Selecting paths with reinforcement learning for contextualized link prediction
We propose to use reinforcement learning to inform transformer-based contextualized link prediction models by providing paths that are most useful for predicting the correct answer.
Knodle: Modular Weakly Supervised Learning with PyTorch
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.
Ranking vs. Classifying: Measuring Knowledge Base Completion Quality
We randomly remove some of these correct answers from the data set, simulating the realistic scenario of real-world entities missing from a KB.
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