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arXiv (Cornell University)· 2013· Preprint

Distributed Representations of Words and Phrases and their Compositionality

Tomáš Mikolov

Short summary

This paper introduces extensions to the Skip-gram model for learning word vector representations, significantly improving training speed and vector quality through subsampling frequent words and a new negative sampling method.

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Field: Artificial Intelligence

Artificial IntelligenceComputer Science