rule learning

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks AAAI 2022 Perform like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference COLING 2022 Robust Rule Learning for Reliable and Interpretable Insight into Expertise Transfer Opportunities AAAI 2022 Towards Learning Arabic Morphophonology EMNLP 2022 Exploratory Analysis of News Sentiment Using Subgroup Discovery EACL 2021 Frequency Effects on Syntactic Rule Learning in Transformers EMNLP 2021 Learning Accurate and Interpretable Decision Rule Sets from Neural Networks AAAI 2021 LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking ACL 2021 Neural Sequence-to-grid Module for Learning Symbolic Rules AAAI 2021 pRSL: Interpretable multi-label stacking by learning probabilistic rules UAI 2021 Reasoning-Based Learning of Interpretable ML Models IJCAI 2021 Stratified Rule-Aware Network for Abstract Visual Reasoning AAAI 2021 Were We There Already? Applying Minimal Generalization to the SIGMORPHON-UniMorph Shared Task on Cognitively Plausible Morphological Inflection ACL 2021 Abstract Rule Based Pattern Learning with Neural Networks AAAI 2020 Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses NeurIPS 2020 Differentiable learning of numerical rules in knowledge graphs ICLR 2020 FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria AAAI 2020 Learning Compositional Rules via Neural Program Synthesis NeurIPS 2020 MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning EMNLP 2020 Relatedness and TBox-Driven Rule Learning in Large Knowledge Bases AAAI 2020 Anytime Bottom-Up Rule Learning for Knowledge Graph Completion IJCAI 2019 Evolutionary Learning of Existential Rules IJCAI 2019 Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning AAAI 2019 Synthesizing Datalog Programs using Numerical Relaxation IJCAI 2019 Completeness-aware Rule Learning from Knowledge Graphs IJCAI 2018