Reasoning

JEC-QA: A Legal-Domain Question Answering Dataset AAAI 2020 Joint Causal Inference from Multiple Contexts JMLR 2020 Joint Constrained Learning for Event-Event Relation Extraction EMNLP 2020 Justifying All Differences Using Pseudo-Boolean Reasoning AAAI 2020 Kernel-based Approach for Learning Causal Graphs from Mixed Data PGM 2020 Knowledge Association with Hyperbolic Knowledge Graph Embeddings EMNLP 2020 Knowledge Transfer for Learning Markov Equivalence Classes PGM 2020 Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph EMNLP 2020 Language (Re)modelling: Towards Embodied Language Understanding ACL 2020 Latent Belief Space Motion Planning under Cost, Dynamics, and Intent Uncertainty RSS 2020 Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge NeurIPS 2020 Learning and Reasoning for Robot Sequential Decision Making under Uncertainty AAAI 2020 Learning Causal Effects via Weighted Empirical Risk Minimization NeurIPS 2020 Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning EMNLP 2020 Learning Counterfactual Representations for Estimating Individual Dose-Response Curves AAAI 2020 Learning Dynamic Context Graph Embedding ACML 2020 Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning ICLR 2020 Learning Interpretable Models in the Property Specification Language IJCAI 2020 Learning Large Logic Programs By Going Beyond Entailment IJCAI 2020 Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables JMLR 2020 Learning LWF Chain Graphs: A Markov Blanket Discovery Approach UAI 2020 Learning Optimal Cyclic Causal Graphs from Interventional Data PGM 2020 Learning Query Inseparable εℒℋ Ontologies AAAI 2020 Learning Reasoning Strategies in End-to-End Differentiable Proving ICML 2020 Learning solutions to hybrid control problems using Benders cuts L4DC 2020