Patents by Inventor Benjamin Birch Douglas

Benjamin Birch Douglas 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: 10402453
    Abstract: Aspects discussed herein present a solution for utilizing large-scale knowledge graphs for inference at scale and generating explanations for the conclusions. In some embodiments, aspects discussed herein learn inference paths from a knowledge graph and determine a confidence score for each inference path. Aspects discussed herein may apply the inference paths to the knowledge graph to improve database lookup, keyword searches, inferences, etc. Aspects discussed herein may generate a natural language explanation for each conclusion or result from one or more inference paths that led to that conclusion or result. Aspects discussed herein may present the best conclusions or results to the user based on selection strategies. The presented results or conclusions may include generated natural language explanations rather than links to documents with word occurrences highlighted.
    Type: Grant
    Filed: November 24, 2014
    Date of Patent: September 3, 2019
    Assignee: Nuance Communications, Inc.
    Inventors: Peter Zei-Chan Yeh, Adwait Ratnaparkhi, Benjamin Birch Douglas, William Lawrence Jarrold
  • Patent number: 10120955
    Abstract: A method is provided for representing and updating the state of a dialog involving a series of queries and commands to an artificial intelligence system. Each statement within the dialogue may be modeled as a relational tree spanning nodes corresponding to named entities within the statement. A data structure may be used to store each of these trees and to modify them as the dialog progresses. A subsequent statement in the dialog may be parsed and its contents used to update an ongoing search initiated within that dialog. Statements may be used for the update process despite being fragmentary or not corresponding to any predetermined grammar. An algorithm is disclosed for updating the trees within the data structure after a new statement is parsed.
    Type: Grant
    Filed: April 2, 2015
    Date of Patent: November 6, 2018
    Assignee: Nuance Communications, Inc.
    Inventors: Adwait Ratnaparkhi, Benjamin Birch Douglas, William Lawrence Jarrold, Deepak Ramachandran, Peter Zei-chan Yeh
  • Publication number: 20160019290
    Abstract: A method is provided for representing and updating the state of a dialog involving a series of queries and commands to an artificial intelligence system. Each statement within the dialogue may be modeled as a relational tree spanning nodes corresponding to named entities within the statement. A data structure may be used to store each of these trees and to modify them as the dialog progresses. A subsequent statement in the dialog may be parsed and its contents used to update an ongoing search initiated within that dialog. Statements may be used for the update process despite being fragmentary or not corresponding to any predetermined grammar. An algorithm is disclosed for updating the trees within the data structure after a new statement is parsed.
    Type: Application
    Filed: April 2, 2015
    Publication date: January 21, 2016
    Inventors: Adwait Ratnaparkhi, Benjamin Birch Douglas, William Lawrence Jarrold, Deepak Ramachandran, Peter Zei-chan Yeh
  • Publication number: 20150379414
    Abstract: Aspects discussed herein present a solution for utilizing large-scale knowledge graphs for inference at scale and generating explanations for the conclusions. In some embodiments, aspects discussed herein learn inference paths from a knowledge graph and determine a confidence score for each inference path. Aspects discussed herein may apply the inference paths to the knowledge graph to improve database lookup, keyword searches, inferences, etc. Aspects discussed herein may generate a natural language explanation for each conclusion or result from one or more inference paths that led to that conclusion or result. Aspects discussed herein may present the best conclusions or results to the user based on selection strategies. The presented results or conclusions may include generated natural language explanations rather than links to documents with word occurrences highlighted.
    Type: Application
    Filed: November 24, 2014
    Publication date: December 31, 2015
    Inventors: Peter Zei-Chan Yeh, Adwait Ratnaparkhi, Benjamin Birch Douglas, William Lawrence Jarrold