Patents by Inventor Salim E. Roukos

Salim E. Roukos 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).

  • Publication number: 20200311343
    Abstract: Cascaded models may be applied to extract facts from a medical text. A first model may be applied to at least a portion of the medical text. The first model extracts at least one first medical fact. The at least one first medical fact is linked to at least first text in the at least a portion of the medical text. A second model may be applied to the first text. The second model extracts at least one second fact that is an attribute of the at least one first medical fact.
    Type: Application
    Filed: November 1, 2019
    Publication date: October 1, 2020
    Applicant: Nuance Communications, Inc.
    Inventors: Neal E. Snider, Brian William Delaney, Girija Yegnanarayanan, Radu Florian, Martin Franz, Scott McCarley, John F. Pitrelli, Imed Zitouni, Salim E. Roukos
  • Patent number: 10496743
    Abstract: Cascaded models may be applied to extract facts from a medical text. A first model may be applied to at least a portion of the medical text. The first model extracts at least one first medical fact. The at least one first medical fact is linked to at least first text in the at least a portion of the medical text. A second model may be applied to the first text. The second model extracts at least one second fact that is an attribute of the at least one first medical fact.
    Type: Grant
    Filed: June 26, 2013
    Date of Patent: December 3, 2019
    Assignee: Nuance Communications, Inc.
    Inventors: Neal E. Snider, Brian William Delaney, Girija Yegnanarayanan, Radu Florian, Martin Franz, Scott McCarley, John F. Pitrelli, Imed Zitouni, Salim E. Roukos
  • Publication number: 20150006199
    Abstract: Cascaded models may be applied to extract facts from a medical text. A first model may be applied to at least a portion of the medical text. The first model extracts at least one first medical fact. The at least one first medical fact is linked to at least first text in the at least a portion of the medical text. A second model may be applied to the first text. The second model extracts at least one second fact that is an attribute of the at least one first medical fact.
    Type: Application
    Filed: June 26, 2013
    Publication date: January 1, 2015
    Inventors: Neal E. Snider, Brian William Delaney, Girija Yegnanarayanan, Radu Florian, Martin Franz, Scott McCarley, John F. Pitrelli, Imed Zitouni, Salim E. Roukos
  • Patent number: 8620961
    Abstract: A Bell Tree data structure is provided to model the process of chaining the mentions, from one or more documents, into entities, tracking the entire process; where the data structure is used in an entity tracking process that produces multiple results ranked by a product of probability scores.
    Type: Grant
    Filed: May 5, 2008
    Date of Patent: December 31, 2013
    Assignee: International Business Machines Corporation
    Inventors: Abraham Ittycheriah, Hongyan Jing, Nandakishore Kambhatla, Xiaoqiang Luo, Salim E. Roukos
  • Publication number: 20080243888
    Abstract: A Bell Tree data structure is provided to model the process of chaining the mentions, from one or more documents, into entities, tracking the entire process; where the data structure is used in an entity tracking process that produces multiple results ranked by a product of probability scores.
    Type: Application
    Filed: May 5, 2008
    Publication date: October 2, 2008
    Inventors: Abraham Ittycheriah, Hongyan Jing, Nandakishore Kambhatla, Xiaoqiang Luo, Salim E. Roukos
  • Patent number: 7398274
    Abstract: A Bell Tree data structure is provided to model the process of chaining the mentions, from one or more documents, into entities, tracking the entire process; where the data structure is used in an entity tracking process that produces multiple results ranked by a product of probability scores.
    Type: Grant
    Filed: April 27, 2004
    Date of Patent: July 8, 2008
    Assignee: International Business Machines Corporation
    Inventors: Abraham Ittycheriah, Hongyan Jing, Nandakishore Kambhatla, Xiaoqiang Luo, Salim E. Roukos
  • Patent number: 7308400
    Abstract: An arrangement for adapting statistical parsers to new data using a mathematical transform, particularly a Markov transform. In particular, it is assumed that an initial statistical parser is available and a batch of new data is given. The initial model is mapped to a new model by a Markov matrix, each of whose rows sums to one. In the unsupervised setup, where “true” parses are missing, the transform matrix is obtained by maximizing the log likelihood of the parses of test data decoded using the model before adaptation. The proposed algorithm can be applied to supervised adaptation, as well.
    Type: Grant
    Filed: December 14, 2000
    Date of Patent: December 11, 2007
    Assignee: International Business Machines Corporation
    Inventors: Xiaoqiang Luo, Salim E. Roukos, Robert T. Ward
  • Publication number: 20030037053
    Abstract: A method for automatically updating stock and mutual fund grammars in a speech recognition system includes the step of automatically updating, on a pre-specified basis, a database having a plurality of entries. Each entry respectively corresponds to a publicly traded stock or a publicly traded fund, and respectively includes at least one name of the publicly traded stock or publicly traded fund, a weight for the at least one name, and baseforms of the at least one name. A grammar file for names in the database is automatically updated. The grammar file includes the names and weights for the names. Preferably, the database and grammar file are updated on a daily basis.
    Type: Application
    Filed: August 9, 2001
    Publication date: February 20, 2003
    Inventors: Zhong-Hua Wang, Martin Franz, David Lubensky, Salim E. Roukos
  • Publication number: 20020111793
    Abstract: An arrangement for adapting statistical parsers to new data using a mathematical transform, particularly a Markov transform. In particular, it is assumed that an initial statistical parser is available and a batch of new data is given. The initial model is mapped to a new model by a Markov matrix, each of whose rows sums to one. In the unsupervised setup, where “true” parses are missing, the transform matrix is obtained by maximizing the log likelihood of the parses of test data decoded using the model before adaptation. The proposed algorithm can be applied to supervised adaptation, as well.
    Type: Application
    Filed: December 14, 2000
    Publication date: August 15, 2002
    Applicant: IBM Corporation
    Inventors: Xiaoqiang Luo, Salim E. Roukos, Robert T. Ward
  • Patent number: 6266637
    Abstract: In accordance with the present invention, a method for providing generation of speech includes the steps of providing input to be acoustically produced, comparing the input to training data or application specific splice files to identify one of words and word sequences corresponding to the input for constructing a phone sequence, using a search algorithm to identify a segment sequence to construct output speech according to the phone sequence and concatenating segments and modifying characteristics of the segments to be substantially equal to requested characteristics. Application specific data is advantageously used to make pertinent information available to synthesize both the phone sequence and the output speech. Also, described is a system for performing operations in accordance with the disclosure.
    Type: Grant
    Filed: September 11, 1998
    Date of Patent: July 24, 2001
    Assignee: International Business Machines Corporation
    Inventors: Robert E. Donovan, Martin Franz, Salim E. Roukos, Jeffrey Sorensen
  • Patent number: 5319735
    Abstract: A code signal representing a sequence of code symbols carrying digital information is generated with the frequency components of the code signal being essentially confined to a preselected signalling band lying within the bandwidth of an audio signal within which the code signal is to be embedded. The audio signal is continuously frequency analyzed over a frequency band encompassing the signalling band and the code signal is dynamically filtered as a function of the analysis thereby to provide a modified code signal with frequency components which are, at each time instant, essentially a preselected small proportion of the levels of the corresponding audio signal frequency components. Accordingly, the modified code signal can be combined with the audio signal to obtain a composite audio signal which is not readily distinguishable from the original audio signal by listening.
    Type: Grant
    Filed: December 17, 1991
    Date of Patent: June 7, 1994
    Assignee: Bolt Beranek and Newman Inc.
    Inventors: Robert D. Preuss, Salim E. Roukos, A. W. F. Huggins, Herbert Gish, Marcos A. Bergamo, Patrick M. Peterson, Alan G. Derr