Patent · US Active

Systems and methods for language feature generation over multi-layered word representation

US10073834B2 · kind B2 · utility

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2References
19Claims
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Key dates

Filing dateFeb 9, 2016
Grant dateSep 11, 2018
Priority date
Expiry dateMay 8, 2036

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06F40/30
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

There is provided a computer-implemented method for outputting one or more cross-layer patterns to identify a target semantic phenomenon in text, the method comprising: extracting, for each word of at least some words of each training text fragment of training text fragments designated as representing a target semantic phenomenon, feature-values defined by respective layers; statistically analyzing the feature-values identified for the training text fragments to identify one or more cross-layer patterns comprising layers representing a common pattern for the training text fragments, the common cross-layer pattern defining one or more feature-values of a respective layer of one or more words and at least another feature-value of another respective layer of another word; and outputting the identified cross-layer pattern(s) for identifying a text fragment representing the target semantic phenomenon.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.