Knowledge & Reasoning

Learning Generalized Gumbel-max Causal Mechanisms NeurIPS 2021 Learning Instance-Level N-Ary Semantic Knowledge At Scale For Robots Operating in Everyday Environments RSS 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 Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge Graph EMNLP 2021 Learning Prototypical Functions for Physical Artifacts ACL 2021 Learning Temporal Plan Preferences from Examples: An Empirical Study IJCAI 2021 Learning Term Embeddings for Lexical Taxonomies AAAI 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 Low-Rank Subspaces for Unsupervised Entity Linking EMNLP 2021 Low Resource Quadratic Forms for Knowledge Graph Embeddings EMNLP 2021 LTL2Action: Generalizing LTL Instructions for Multi-Task RL ICML 2021 LTL-Constrained Steady-State Policy Synthesis IJCAI 2021 Maintenance of Social Commitments in Multiagent Systems AAAI 2021 Markov equivalence of max-linear Bayesian networks UAI 2021 Matching a Desired Causal State via Shift Interventions NeurIPS 2021 Mental Actions and Explainability in Kripkean Semantics: What Else do I Know? (Student Abstract) AAAI 2021 MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces AAAI 2021 Meta Learning for Causal Direction AAAI 2021 MG-BERT: Multi-Graph Augmented BERT for Masked Language Modeling NAACL 2021 Mining EL Bases with Adaptable Role Depth AAAI 2021 Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States EMNLP 2021 Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT EMNLP 2021