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Generating feature embeddings from a co-occurrence matrix

机译:从同现矩阵生成特征嵌入

摘要

Methods, and systems, including computer programs encoded on computer storage media for generating compressed representations from a co-occurrence matrix. A method includes obtaining a set of sub matrices of a co-occurrence matrix, where each row of the co-occurrence matrix corresponds to a feature from a first feature vocabulary and each column of the co-occurrence matrix corresponds to a feature from a second feature vocabulary; selecting a sub matrix, wherein the sub matrix is associated with a particular row block and column block of the co-occurrence matrix; assigning respective d-dimensional initial row and column embedding vectors to each row and column from the particular row and column blocks, respectively; and determining a final row embedding vector and a final column embedding vector by iteratively adjusting the initial row embedding vectors and the initial column embedding vectors using the co-occurrence matrix.
机译:方法和系统,包括在计算机存储介质上编码的计算机程序,用于从同现矩阵生成压缩表示。一种方法包括获得同现矩阵的一组子矩阵,其中同现矩阵的每一行对应于第一特征词汇表中的特征,并且同现矩阵的每一列对应于第二要素表中的特征。特征词汇;选择子矩阵,其中所述子矩阵与所述共现矩阵的特定行块和列块相关联;从特定的行和列块分别为每个行和列分配相应的d维初始行和列嵌入矢量;通过使用同现矩阵迭代地调整初始行嵌入向量和初始列嵌入向量,确定最终行嵌入向量和最终列嵌入向量。

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