most citedWord2Vec is a special case of Kernel Correspondence Analysis and Kernels for Natural Language Processing

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2016★ 2 cited

Word2Vec is a special case of Kernel Correspondence Analysis and Kernels for Natural Language Processing

Hirotaka Niitsuma, Minho Lee

We show that correspondence analysis (CA) is equivalent to defining a Gini index with appropriately scaled one-hot encoding. Using this relation, we introduce a nonlinear kernel ex…