Patents by Inventor Scott McCarley

Scott McCarley 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).

  • Patent number: 12093657
    Abstract: A method of using a computing device using natural language software to respond to a Boolean question is presented. The method includes receiving, by a computing device, a question and at least one passage. The computing device classifies the question as a Boolean type question. The computing device generates evidence from the at least one passage to the Boolean question. The computing device generates a response to the Boolean question using the generated evidence. The computing device provides the generated evidence that supports the response to the Boolean question.
    Type: Grant
    Filed: November 5, 2021
    Date of Patent: September 17, 2024
    Assignee: International Business Machines Corporation
    Inventors: Sara Rosenthal, Jeffrey Scott McCarley, Mihaela Ancuta Bornea
  • Patent number: 11765193
    Abstract: In a computer-implemented method for improving a static analyzer output, a processor receives a labeled data set with labeled true vulnerabilities and labeled false vulnerabilities. A processor receives pretrained contextual embeddings from a contextual embeddings model. A processor maps the true vulnerabilities and the false vulnerabilities to the pretrained contextual embeddings model. A processor generates a fine-tuned model with classifications for true vulnerabilities.
    Type: Grant
    Filed: December 30, 2020
    Date of Patent: September 19, 2023
    Assignee: International Business Machines Corporation
    Inventors: Saurabh Pujar, Luca Buratti, Alessandro Morari, Jim Alain Laredo, Mihaela Ancuta Bornea, Jeffrey Scott McCarley, Yunhui Zheng
  • Publication number: 20230148228
    Abstract: A method of using a computing device using natural language software to respond to a Boolean question is presented. The method includes receiving, by a computing device, a question and at least one passage. The computing device classifies the question as a Boolean type question. The computing device generates evidence from the at least one passage to the Boolean question. The computing device generates a response to the Boolean question using the generated evidence. The computing device provides the generated evidence that supports the response to the Boolean question.
    Type: Application
    Filed: November 5, 2021
    Publication date: May 11, 2023
    Inventors: Sara Rosenthal, Jeffrey Scott McCarley, Mihaela Ancuta Bornea
  • Publication number: 20220210178
    Abstract: In a computer-implemented method for improving a static analyzer output, a processor receives a labeled data set with labeled true vulnerabilities and labeled false vulnerabilities. A processor receives pretrained contextual embeddings from a contextual embeddings model. A processor maps the true vulnerabilities and the false vulnerabilities to the pretrained contextual embeddings model. A processor generates a fine-tuned model with classifications for true vulnerabilities.
    Type: Application
    Filed: December 30, 2020
    Publication date: June 30, 2022
    Inventors: Saurabh Pujar, Luca Buratti, Alessandro Morari, Jim Alain Laredo, Mihaela Ancuta Bornea, Jeffrey Scott McCarley, Yunhui Zheng
  • 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
  • Publication number: 20130091161
    Abstract: A method, apparatus and article of manufacture for determining annotation quality, including obtaining N annotations on an artifact, wherein each annotation includes a feature and N annotations include three or more annotations including an annotation provided by a first human annotator, zero or more human annotations and zero or more imposter annotations, selectively displaying the N annotations to the first human annotator, wherein the annotation provided by the first human annotator is completely visible and each of the other N?1 annotations includes a feature hidden, and determining to annotation quality of one of the N?1 annotations based on input from the first human annotator regarding the displayed annotations, wherein ability of the first human annotator to identify imposter annotations or recognize that no imposter annotation exists is gated by the quality of the first human's annotation via hiding other annotations and requiring a probe based on the first human annotator's annotation.
    Type: Application
    Filed: October 11, 2011
    Publication date: April 11, 2013
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jeffrey Scott McCarley, Leiming R. Qian
  • Patent number: 7783633
    Abstract: An improved method, apparatus, and computer instructions displaying search results. A query is received in a first language. A snippet in the document containing the word is selected in response to identifying a document in a second language in which the document contains a word matching a query word in the query. This snippet is translated into the first language.
    Type: Grant
    Filed: November 19, 2004
    Date of Patent: August 24, 2010
    Assignee: International Business Machines Corporation
    Inventors: Radu Florian, Martin Franz, Jeffrey Scott McCarley, Robert Todd Ward
  • Patent number: 7028045
    Abstract: There is provided a method for compressing an index file in an information retrieval system that retrieves information from a plurality of documents. Each of the plurality of documents has features occurring therein. Each of the features has parameters corresponding thereto. Parameter values corresponding to the parameters of the features are mapped into a plurality of bins. Bin identifiers are stored in the index file. Each of the bin identifiers identifies a bin to which is assigned at least one individual parameter value corresponding to at least one individual parameter.
    Type: Grant
    Filed: January 25, 2002
    Date of Patent: April 11, 2006
    Assignee: International Business Machines Corporation
    Inventors: Martin Franz, Jeffrey Scott McCarley
  • Patent number: 6925436
    Abstract: An audio indexing system including, in addition to a speech recognition subsystem for converting the audio information into a textual form and an indexing subsystem for extracting the features to be used for searching and browsing, a statistical machine translation model, trained on a parallel or comparable corpus of automatically and by-hand transcribed data, for processing the output of the speech recognition system.
    Type: Grant
    Filed: January 28, 2000
    Date of Patent: August 2, 2005
    Assignee: International Business Machines Corporation
    Inventors: Martin Franz, Jeffrey Scott McCarley
  • Publication number: 20030144995
    Abstract: There is provided a method for compressing an index file in an information retrieval system that retrieves information from a plurality of documents. Each of the plurality of documents has features occurring therein. Each of the features has parameters corresponding thereto. Parameter values corresponding to the parameters of the features are mapped into a plurality of bins. Bin identifiers are stored in the index file. Each of the bin identifiers identifies a bin to which is assigned at least one individual parameter value corresponding to at least one individual parameter.
    Type: Application
    Filed: January 25, 2002
    Publication date: July 31, 2003
    Applicant: International Business Machines
    Inventors: Martin Franz, Jeffrey Scott McCarley
  • Patent number: 6349276
    Abstract: A method for retrieving information, in accordance with the present invention, includes the steps of providing an initial query in a first language, retrieving data in a second language in accordance with the initial query, formulating the query in the second language, retrieving data in a third language in accordance with the query formulated in the second language and outputting data retrieved in the third language in accordance with the initial query. A system is also provided in accordance with the invention.
    Type: Grant
    Filed: October 29, 1998
    Date of Patent: February 19, 2002
    Assignee: International Business Machines Corporation
    Inventor: Jeffrey Scott McCarley
  • Patent number: 6092034
    Abstract: A system and method for translating a series of source words in a first language to a series of target words in a second language is provided. The system includes an input device for inputting the series of source words. A fertility hypothesis generator operatively coupled to the input device generates at least one fertility hypotheses for a fertility of a source word, based on the source word and a context of the source word. A sense hypothesis generator operatively coupled to the input device generates sense hypotheses for a translation of the source word, based on the source word and the context of the source word. A fertility model operatively coupled to the fertility hypothesis generator determines a probability of the fertility of the source word, based on the source word and the context of the source word.
    Type: Grant
    Filed: July 27, 1998
    Date of Patent: July 18, 2000
    Assignee: International Business Machines Corporation
    Inventors: Jeffrey Scott McCarley, Salim Roukos