Reasoning

Inconsistency Measurement for Paraconsistent Inference IJCAI 2021 Incorporating External Knowledge to Enhance Tabular Reasoning NAACL 2021 Inference of causal effects when control variables are unknown UAI 2021 Intensional and Extensional Views in DL-Lite Ontologies IJCAI 2021 Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning ACL 2021 Interventional Video Grounding With Dual Contrastive Learning CVPR 2021 Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability EMNLP 2021 Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias NeurIPS 2021 Knowledge-Base Degrees of Inconsistency: Complexity and Counting AAAI 2021 Knowledge-Enhanced Evidence Retrieval for Counterargument Generation EMNLP 2021 Landmark Generation in HTN Planning AAAI 2021 Learning Adjustment Sets from Observational and Limited Experimental Data AAAI 2021 Learning Faithful Representations of Causal Graphs ACL 2021 Learning Generalized Gumbel-max Causal Mechanisms NeurIPS 2021 Learning latent causal graphs via mixture oracles NeurIPS 2021 Learning Latent Structures for Cross Action Phrase Relations in Wet Lab Protocols ACL 2021 Learning Prototypical Functions for Physical Artifacts ACL 2021 Learning Temporal Plan Preferences from Examples: An Empirical Study IJCAI 2021 LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs ICML 2021 Leveraging Language to Learn Program Abstractions and Search Heuristics ICML 2021 Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification EMNLP 2021 LTL2Action: Generalizing LTL Instructions for Multi-Task RL ICML 2021 LTL-Constrained Steady-State Policy Synthesis IJCAI 2021 Markov equivalence of max-linear Bayesian networks UAI 2021 Matching a Desired Causal State via Shift Interventions NeurIPS 2021