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Knowledge bases provide applications with the benefit of easily accessible, systematic relational knowledge but often suffer in practice from their incompleteness and lack of knowledge of new entities and relations.
WordNet: A Lexical Database for English
G.A. Miller · 1995
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Improving machine learning approaches to coreference resolution
V. Ng and C. Cardie · 2002
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A neural probabilistic language model
Y. Bengio, R. Ducharme, P. Vincent, and C. Janvin · 2003
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The SphereSearch engine for unified ranked retrieval of heterogeneous XML and web documents
J. Graupmann, R. Schenkel, and G. Weikum · 2005
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Learning syntactic patterns for automatic hypernym discovery
R. Snow, D. Jurafsky, and A. Y. Ng · 2005
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Yago: a core of semantic knowledge
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A unified architecture for natural language processing: deep neural networks with multitask learning
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Modelling relational data using Bayesian clustered tensor factorization
I. Sutskever, R. Salakhutdinov, and J. B. Tenenbaum · 2009
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Word representations: a simple and general method for semi-supervised learning
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Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images
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Identifying relations for open information extraction
A. Fader, S. Soderland, and O. Etzioni · 2011
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Learning structured embeddings of knowledge bases
A. Bordes, J. Weston, R. Collobert, and Y. Bengio · 2011
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Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
A. Bordes, X. Glorot, J. Weston, and Y. Bengio · 2012
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Semantic Compositionality Through Recursive Matrix-Vector Spaces
R. Socher, B. Huval, C. D. Manning, and A. Y. Ng · 2012
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Improving Word Representations via Global Context and Multiple Word Prototypes
E. H. Huang, R. Socher, C. D. Manning, and A. Y. Ng · 2012
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