Expert Systems
"Today's expert systems deal with domains of narrow specialization. For expert systems to perform competently over a broad range of tasks, they will have to be given very much more knowledge. ... The next generation of expert systems ... will require large knowledge bases. How will we get them?"
– Edward Feigenbaum, Pamela McCorduck, H. Penny Nii, from The Rise of the Expert Company. New York: Times Books, 1988.
Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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Probabilistic Logic Neural Networks for Reasoning
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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MeasuringSystematicGeneralization inNeuralProofGenerationwithTransformers
Neural Information Processing Systems
Specifically,weperform soft theorem-proving by leveraging TLMs to generate natural language proofs. We test the generated proofs for logical consistency, along with the accuracy of the final inference.
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