Patents by Inventor Korina J. Stark

Korina J. Stark 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: 20170039272
    Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
    Type: Application
    Filed: August 10, 2016
    Publication date: February 9, 2017
    Inventors: Neil Roseman, Jisheng Liang, Krzysztof Koperski, Korina J. Stark, Navdeep S. Dhillon, Diana Schwend, Jose Hernando
  • Patent number: 9471670
    Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
    Type: Grant
    Filed: February 14, 2014
    Date of Patent: October 18, 2016
    Assignee: VCVC III LLC
    Inventors: Neil Roseman, Jisheng Liang, Krzysztof Koperski, Korina J. Stark, Navdeep S. Dhillon, Diana Schwend, Jose Hernando
  • Publication number: 20140229467
    Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
    Type: Application
    Filed: February 14, 2014
    Publication date: August 14, 2014
    Applicant: Vulcan Inc.
    Inventors: Neil Roseman, Jisheng Liang, Krzysztof Koperski, Korina J. Stark, Navdeep S. Dhillon, Diana Schwend, Jose Hernando
  • Patent number: 8700604
    Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
    Type: Grant
    Filed: October 16, 2008
    Date of Patent: April 15, 2014
    Assignee: Evri, Inc.
    Inventors: Neil Roseman, Jisheng Liang, Krzysztof Koperski, Korina J Stark, Navdeep S Dhillon, Diana J Schwend, Jose Hernando
  • Publication number: 20090150388
    Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
    Type: Application
    Filed: October 16, 2008
    Publication date: June 11, 2009
    Inventors: Neil Roseman, Jisheng Liang, Krzysztof Koperski, Korina J. Stark, Navdeep S. Dhillon, Diana J. Schwend, Jose Hernando