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Methodology
← Reasoning
Knowledge & Reasoning
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Reasoning
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Automated Reasoning
840 directly classified papers
Papers per year
2007: 3
2008: 4
2010: 3
2011: 5
2012: 3
2013: 7
2014: 3
2016: 1
2017: 45
2018: 49
2019: 76
2020: 83
2021: 96
2022: 105
2023: 117
2024: 115
2025: 118
2026: 7
Papers
Evolutionary Learning of Existential Rules
IJCAI 2019
Complexity of Fundamental Problems in Probabilistic Abstract Argumentation: Beyond Independence (Extended Abstract)
IJCAI 2019
A Replication Study of Semantics in Argumentation
IJCAI 2019
Closed-World Semantics for Conjunctive Queries with Negation over ELH-bottom Ontologies
IJCAI 2019
Comparing Options with Argument Schemes Powered by Cancellation
IJCAI 2019
Model-Based Diagnosis with Multiple Observations
IJCAI 2019
Mixed-World Reasoning with Existential Rules under Active-Domain Semantics
IJCAI 2019
Learning to Explain: Answering Why-Questions via Rephrasing
ACL 2019
Decompositional Argument Mining: A General Purpose Approach for Argument Graph Construction
ACL 2019
How Well Do Machines Perform on IQ tests: a Comparison Study on a Large-Scale Dataset
IJCAI 2019
Anytime Bottom-Up Rule Learning for Knowledge Graph Completion
IJCAI 2019
DatalogMTL: Computational Complexity and Expressive Power
IJCAI 2019
Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning
IJCNLP 2019
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions
EMNLP 2019
When Choosing Plausible Alternatives, Clever Hans can be Clever
EMNLP 2019
On the Responsibility for Undecisiveness in Preferred and Stable Labellings in Abstract Argumentation (Extended Abstract)
IJCAI 2019
Simple Conditionals with Constrained Right Weakening
IJCAI 2019
Chasing Sets: How to Use Existential Rules for Expressive Reasoning
IJCAI 2019
Efficient Search-Based Weighted Model Integration
UAI 2019
Cross-document coreference: An approach to capturing coreference without context
EMNLP 2019
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
IJCNLP 2019
Program Synthesis and Semantic Parsing with Learned Code Idioms
NIPS 2019
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
IJCNLP 2019
Logical Explanations for Deep Relational Machines Using Relevance Information
JMLR 2019
Generating and Sampling Orbits for Lifted Probabilistic Inference
UAI 2019
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