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Convolutional Latent Semantic Models and their Applications

  • US 20150278200A1
  • Filed: 04/01/2014
  • Published: 10/01/2015
  • Est. Priority Date: 04/01/2014
  • Status: Active Grant
First Claim
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1. A method, implemented by one or more computing devices, for processing linguistic items, comprising:

  • receiving a word sequence formed by a sequence of words;

    forming a plurality of window vectors, each representing a set of z consecutive words in the word sequence;

    transforming the window vectors into a plurality of local contextual feature (LCF) vectors, based on a first part of a convolutional latent semantic model;

    generating a global feature vector by selecting, for each dimension of the LCF vectors, a maximum value specified by the LCF vectors, with respect to that dimension; and

    projecting the global feature vector into a concept vector, based on a second part of the convolutional latent semantic model,the convolutional latent semantic model being trained based on click-through data.

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