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An Approach For Scalable First-Order Rule Learning On Twitter Data
(2021)
Scalable Rule Learning (SRLearn) is a scalable divide-and-conquer approach with graph-based modeling of social media data, to scale up first-order rule learning through Markov Logic Networks on a commodity cluster on large ...