Reasoning

Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AAAI 2019 Counting and Sampling Markov Equivalent Directed Acyclic Graphs AAAI 2019 Counting Complexity for Reasoning in Abstract Argumentation AAAI 2019 Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations EMNLP 2019 Cross-document coreference: An approach to capturing coreference without context EMNLP 2019 CXPlain: Causal Explanations for Model Interpretation under Uncertainty NeurIPS 2019 Data Complexity and Rewritability of Ontology-Mediated Queries in Metric Temporal Logic under the Event-Based Semantics IJCAI 2019 DatalogMTL: Computational Complexity and Expressive Power IJCAI 2019 Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming AAAI 2019 Decompositional Argument Mining: A General Purpose Approach for Argument Graph Construction ACL 2019 Deep Natural Language Understanding of News Text NAACL 2019 Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract IJCAI 2019 Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability AAAI 2019 Distributed Representation of Words in Cause and Effect Spaces AAAI 2019 Domain-Size Aware Markov Logic Networks AISTATS 2019 Do We Need Many-valued Logics for Incomplete Information? IJCAI 2019 Do You Need Infinite Time? IJCAI 2019 DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs NeurIPS 2019 Duality of Link Prediction and Entailment Graph Induction ACL 2019 Dynamic logic of parallel propositional assignments and its applications to planning IJCAI 2019 Efficient Concept Induction for Description Logics AAAI 2019 Efficient Planning Under Uncertainty with Incremental Refinement UAI 2019 Efficient Search-Based Weighted Model Integration UAI 2019 Efficient Temporal Planning Using Metastates AAAI 2019 EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference CoNLL 2019