Test:2014 Word2vecExplainedDerivingMikolo

• (Goldberg & Levy, 2014) ⇒ Yoav Goldberg, and Omer Levy. (2014). “word2vec Explained: Deriving Mikolov Et Al.'s Negative-sampling Word-embedding Method.” In: CoRR, abs/1402.3722.

Subject Headings: Word2vec; Word Embedding System

Cited By

• http://scholar.google.com/scholar?q=%222014%22+word2vec+Explained%3A+Deriving+Mikolov+Et+Al.%27s+Negative-sampling+Word-embedding+Method

Quotes

Abstract

The word2vec software of Tomas Mikolov and colleagues (this https URL) has gained a lot of traction lately, and provides state-of-the-art word embeddings. The learning models behind the software are described in two research papers. We found the description of the models in these papers to be somewhat cryptic and hard to follow. While the motivations and presentation may be obvious to the neural-networks language-modeling crowd, we had to struggle quite a bit to figure out the rationale behind the equations. This note is an attempt to explain equation (4) (negative sampling) in " Distributed Representations of Words and Phrases and their Compositionality " by Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado and Jeffrey Dean.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2014 Word2vecExplainedDerivingMikolo	Yoav Goldberg Omer Levy			word2vec Explained: Deriving Mikolov Et Al.'s Negative-sampling Word-embedding Method