BriefGPT.xyz
Feb, 2018
CoVeR:使用张量分解学习协变量特定的向量表示
CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions
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Kevin Tian, Teng Zhang, James Zou
TL;DR
CoVeR是一种新的张量分解模型,可以有效地学习向量嵌入和其相关协变量,同时具有解释性,通过实验验证获得了很好的效果。
Abstract
word embedding
is a useful approach to capture co-occurrence structures in a large corpus of text. In addition to the text data itself, we often have additional
covariates
associated with individual documents in
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