Neural Word Embedding as Implicit Matrix Factorization

859 indexed citations

Abstract

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About

This paper, published in 2014, received 859 indexed citations. Written by Omer Levy and Yoav Goldberg covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (710 citations), Information Systems (157 citations) and Statistical and Nonlinear Physics (120 citations). Published in Neural Information Processing Systems.

In The Last Decade

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Countries where authors are citing Neural Word Embedding as Implicit Matrix Factorization

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Citations

This map shows the geographic impact of Neural Word Embedding as Implicit Matrix Factorization. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Neural Word Embedding as Implicit Matrix Factorization with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neural Word Embedding as Implicit Matrix Factorization more than expected).

Fields of papers citing Neural Word Embedding as Implicit Matrix Factorization

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Neural Word Embedding as Implicit Matrix Factorization. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Neural Word Embedding as Implicit Matrix Factorization.

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This paper is also available at doi.org/w5168771.

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