Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs

10 August 2017

Papers citing "Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs"

9 / 9 papers shown

Title
Holographic Embeddings of Knowledge Graphs Maximilian Nickel Lorenzo Rosasco T. Poggio 60 1,200 0 16 Oct 2015
Traversing Knowledge Graphs in Vector Space Kelvin Guu John Miller Percy Liang KELM 66 357 0 03 Jun 2015
Compositional Vector Space Models for Knowledge Base Completion Arvind Neelakantan Benjamin Roth Andrew McCallum BDL CoGe KELM 63 282 0 24 Apr 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 404 20,541 0 10 Sep 2014
Ontological Approach toward Cybersecurity in Cloud Computing Takeshi Takahashi Y. Kadobayashi Hiroyuki Fujiwara 36 93 0 01 Apr 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 373 33,520 0 16 Oct 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 646 31,490 0 16 Jan 2013
Natural Language Processing (almost) from Scratch R. Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa 177 7,725 0 02 Mar 2011
From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney Patrick Pantel 150 2,990 0 04 Mar 2010