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Methodology
← Reasoning
Knowledge & Reasoning
›
Reasoning
›
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
Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey
IJCAI 2021
Analogical Proportions: Why They Are Useful in AI
IJCAI 2021
Defining the Semantics of Abstract Argumentation Frameworks through Logic Programs and Partial Stable Models (Extended Abstract)
IJCAI 2021
Comparing Weak Admissibility Semantics to their Dung-style Counterparts (Extended Abstract)
IJCAI 2021
Mining EL Bases with Adaptable Role Depth
AAAI 2021
Automatic Fake News Detection: Are Models Learning to Reason?
ACL 2021
Conditional Inference under Disjunctive Rationality
AAAI 2021
Verifiable Machine Ethics in Changing Contexts
AAAI 2021
Contextual Conditional Reasoning
AAAI 2021
Strategyproof Randomized Social Choice for Restricted Sets of Utility Functions
IJCAI 2021
Fast Abductive Learning by Similarity-based Consistency Optimization
NIPS 2021
Neural-Symbolic Commonsense Reasoner with Relation Predictors
IJCNLP 2021
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs
NIPS 2021
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
NIPS 2021
Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning
AAAI 2021
Knowledge-Base Degrees of Inconsistency: Complexity and Counting
AAAI 2021
Quantification of Resource Production Incompleteness
AAAI 2021
On Exploiting Hitting Sets for Model Reconciliation
AAAI 2021
Focused Inference and System P
AAAI 2021
Differentiable Open-Ended Commonsense Reasoning
NAACL 2021
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
NIPS 2021
Combining Machine Learning & Reasoning for Biodiversity Data Intelligence
AAAI 2021
An Automated Engineering Assistant: Learning Parsers for Technical Drawings
AAAI 2021
On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings
EMNLP 2021
Neural Natural Logic Inference for Interpretable Question Answering
EMNLP 2021
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