Quantum Embedding of Knowledge for Reasoning
暂无分享,去创建一个
Dinesh Garg | Shajith Ikbal | Harit Vishwakarma | Hima P. Karanam | L. V. Subramaniam | Santosh K. Srivastava | L. Venkat Subramaniam | S. Srivastava | Hima P. Karanam | Dinesh Garg | Harit Vishwakarma | S. Ikbal
[1] Guillaume Bouchard,et al. Complex Embeddings for Simple Link Prediction , 2016, ICML.
[2] Philippe Roussel,et al. The birth of Prolog , 1993, HOPL-II.
[3] Dominic Widdows,et al. Orthogonal Negation in Vector Spaces for Modelling Word-Meanings and Document Retrieval , 2003, ACL.
[4] Douwe Kiela,et al. Poincaré Embeddings for Learning Hierarchical Representations , 2017, NIPS.
[5] Jure Leskovec,et al. Embedding Logical Queries on Knowledge Graphs , 2018, NeurIPS.
[6] Steven Schockaert,et al. Inductive Reasoning about Ontologies Using Conceptual Spaces , 2017, AAAI.
[7] Zhen Wang,et al. Knowledge Graph Embedding by Translating on Hyperplanes , 2014, AAAI.
[8] Jim Hefferon,et al. Linear Algebra , 2012 .
[9] Tim Rocktäschel,et al. End-to-end Differentiable Proving , 2017, NIPS.
[10] Mohammad Sadoghi,et al. EmbedS: Scalable, Ontology-aware Graph Embeddings , 2018, EDBT.
[11] Jason Weston,et al. Learning Structured Embeddings of Knowledge Bases , 2011, AAAI.
[12] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[13] Hector J. Levesque,et al. Knowledge Representation and Reasoning , 2004 .
[14] Danqi Chen,et al. CoQA: A Conversational Question Answering Challenge , 2018, TACL.
[15] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[16] Stephen Muggleton,et al. Inductive Logic Programming , 2011, Lecture Notes in Computer Science.
[17] Steven Schockaert,et al. Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning , 2016, ECAI.
[18] Stephen H. Bach. Hinge-Loss Markov Random Fields and Probabilistic Soft Logic: A Scalable Approach to Structured Prediction , 2015, J. Mach. Learn. Res..
[19] Bernhard Ganter,et al. Formal Concept Analysis: Mathematical Foundations , 1998 .
[20] Dominic Widdows,et al. Geometry and Meaning , 2004, Computational Linguistics.
[21] Jason Weston,et al. Translating Embeddings for Modeling Multi-relational Data , 2013, NIPS.
[22] Zhiyuan Liu,et al. Representation Learning of Knowledge Graphs with Hierarchical Types , 2016, IJCAI.
[23] V. Varadarajan. Geometry of quantum theory , 1968 .
[24] Evgeniy Gabrilovich,et al. A Review of Relational Machine Learning for Knowledge Graphs , 2015, Proceedings of the IEEE.
[25] Jian Zhang,et al. SQuAD: 100,000+ Questions for Machine Comprehension of Text , 2016, EMNLP.
[26] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[27] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[28] Sameer Singh,et al. Low-Dimensional Embeddings of Logic , 2014, ACL 2014.
[29] Sameer Singh,et al. Injecting Logical Background Knowledge into Embeddings for Relation Extraction , 2015, NAACL.
[30] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[31] D. W. Cohen,et al. An Introduction to Hilbert Space and Quantum Logic , 1989 .
[32] Thomas Lukasiewicz,et al. Deep Learning for Ontology Reasoning , 2017, ArXiv.
[33] Thomas Demeester,et al. Lifted Rule Injection for Relation Embeddings , 2016, EMNLP.
[34] Ian Horrocks,et al. An Introduction to Description Logic , 2017 .
[35] J. Neumann,et al. The Logic of Quantum Mechanics , 1936 .
[36] Ben Taskar,et al. Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning) , 2007 .
[37] Douwe Kiela,et al. Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry , 2018, ICML.