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Knowledge Representation

379 directly classified papers

Papers per year

Papers

Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision ACL 2017
InToEventS: An Interactive Toolkit for Discovering and Building Event Schemas EACL 2017
Safe Inductions: An Algebraic Study IJCAI 2017
Tractability in Structured Probability Spaces NIPS 2017
Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models EMNLP 2017
End-to-end Differentiable Proving NIPS 2017
Mining Convex Polygon Patterns with Formal Concept Analysis IJCAI 2017
Learning Language Representations for Typology Prediction EMNLP 2017
Learning a Neural Semantic Parser from User Feedback ACL 2017
No Pizza for You: Value-based Plan Selection in BDI Agents IJCAI 2017
Reformulating Queries: Theory and Practice IJCAI 2017
Lazy-Grounding for Answer Set Programs with External Source Access IJCAI 2017
An Exact Approach to Learning Probabilistic Relational Model PGM 2016
Discriminative Gaifman Models NIPS 2016
Integrating Grammar and Segmentation for Human Pose Estimation CVPR 2013
Modelling Sparse Dynamical Systems with Compressed Predictive State Representations ICML 2013
Reasoning With Neural Tensor Networks for Knowledge Base Completion NIPS 2013
Enriching Texture Analysis with Semantic Data CVPR 2013
Missing Information Impediments to Learnability COLT 2011
Lifted Inference Seen from the Other Side : The Tractable Features NIPS 2010
Probabilistic Belief Revision with Structural Constraints NIPS 2010
Occlusive Components Analysis NIPS 2009
DL-Learner: Learning Concepts in Description Logics JMLR 2009
Learning Taxonomies by Dependence Maximization NIPS 2008
Hidden Common Cause Relations in Relational Learning NIPS 2007