Knowledge Representation

InToEventS: An Interactive Toolkit for Discovering and Building Event Schemas EACL 2017 Lazy-Grounding for Answer Set Programs with External Source Access IJCAI 2017 Learning a Neural Semantic Parser from User Feedback ACL 2017 Learning Language Representations for Typology Prediction EMNLP 2017 Learning Structured Natural Language Representations for Semantic Parsing ACL 2017 Mining Convex Polygon Patterns with Formal Concept Analysis IJCAI 2017 Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision ACL 2017 No Pizza for You: Value-based Plan Selection in BDI Agents IJCAI 2017 Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models EMNLP 2017 Reformulating Queries: Theory and Practice IJCAI 2017 Safe Inductions: An Algebraic Study IJCAI 2017 Tractability in Structured Probability Spaces NeurIPS 2017 An Exact Approach to Learning Probabilistic Relational Model PGM 2016 Discriminative Gaifman Models NeurIPS 2016 Lifted Inference Rules With Constraints NeurIPS 2015 Scaling-up Importance Sampling for Markov Logic Networks NeurIPS 2014 Enriching Texture Analysis with Semantic Data CVPR 2013 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 NeurIPS 2013 Human memory search as a random walk in a semantic network NeurIPS 2012 Missing Information Impediments to Learnability COLT 2011 Lifted Inference Seen from the Other Side : The Tractable Features NeurIPS 2010 Probabilistic Belief Revision with Structural Constraints NeurIPS 2010 DL-Learner: Learning Concepts in Description Logics JMLR 2009