Search Results for author: Marina Speranskaya

Found 3 papers, 3 papers with code

ReInform: Selecting paths with reinforcement learning for contextualized link prediction

1 code implementation19 Nov 2022 Marina Speranskaya, Sameh Methias, Benjamin Roth

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.

Link Prediction reinforcement-learning +1

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.

Benchmarking BIG-bench Machine Learning +3

Ranking vs. Classifying: Measuring Knowledge Base Completion Quality

1 code implementation AKBC 2020 Marina Speranskaya, Martin Schmitt, Benjamin Roth

We randomly remove some of these correct answers from the data set, simulating the realistic scenario of real-world entities missing from a KB.

Knowledge Base Completion Model Selection

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