Patents by Inventor Ronan Collorbert

Ronan Collorbert has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Supervised semantic indexing and its extensions
    Patent number: 8359282
    Abstract: A system and method for determining a similarity between a document and a query includes providing a frequently used dictionary and an infrequently used dictionary in storage memory. For each word or gram in the infrequently used dictionary, n words or grams are correlated from the frequently used dictionary based on a first score. Features for a vector of the infrequently used words or grams are replaced with features from a vector of the correlated words or grams from the frequently used dictionary when the features from a vector of the correlated words or grams meet a threshold value. A similarity score is determined between weight vectors of a query and one or more documents in a corpus by employing the features from the vector of the correlated words or grams that met the threshold value.
    Type: Grant
    Filed: September 18, 2009
    Date of Patent: January 22, 2013
    Assignee: NEC Laboratories America, Inc.
    Inventors: Bing Bai, Jason Weston, Ronan Collorbert, David Grangier
  • SUPERVISED SEMANTIC INDEXING AND ITS EXTENSIONS
    Publication number: 20100185659
    Abstract: A system and method for determining a similarity between a document and a query includes providing a frequently used dictionary and an infrequently used dictionary in storage memory. For each word or gram in the infrequently used dictionary, n words or grams are correlated from the frequently used dictionary based on a first score. Features for a vector of the infrequently used words or grams are replaced with features from a vector of the correlated words or grams from the frequently used dictionary when the features from a vector of the correlated words or grams meet a threshold value. A similarity score is determined between weight vectors of a query and one or more documents in a corpus by employing the features from the vector of the correlated words or grams that met the threshold value.
    Type: Application
    Filed: September 18, 2009
    Publication date: July 22, 2010
    Applicant: NEC Laboratories America, Inc.
    Inventors: BING BAI, JASON WESTON, RONAN COLLORBERT, DAVID GRANGIER