Information Relation Generation

作者: Amit Chakraborty , Swapna Somasundaran , Dingcheng Li

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摘要: For generating a word space, manual thresholding of scores is used. Rather than requiring the user to select threshold arbitrarily or review each word, iteratively requested indicate relevance given word. Words with greater lesser are labeled in same way depending upon response. determining relationship between named entities, Latent Dirichlet Allocation (LDA) performed on text associated name entities rather an entire document. LDA for mining may include context information and/or supervised learning.

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