Patents by Inventor William Tunstall-Pedoe

William Tunstall-Pedoe 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: 20230125580
    Abstract: A computer implemented method for the automated analysis or use of data is implemented by a voice assistant. The method comprises the steps of: (a) storing in a memory a structured, machine-readable representation of data that conforms to a machine-readable language (‘machine representation’); the machine representation including representations of user speech or text input to a human/machine interface; and (b) automatically processing the machine representations to analyse the user speech or text input.
    Type: Application
    Filed: December 25, 2022
    Publication date: April 27, 2023
    Inventors: William TUNSTALL-PEDOE, Finlay CURRAN, Harry ROSCOE, Robert HEYWOOD
  • Patent number: 11182381
    Abstract: Computer implemented systems and methods are described that enable customers to search for a product, and obtain a list of retail locations that are likely to provide that product without any need for any specific information about the stock or products held by that retailer.
    Type: Grant
    Filed: October 27, 2017
    Date of Patent: November 23, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: William Tunstall-Pedoe, Petra Elisabeth Holmes, Jonathan Gough
  • Patent number: 11132610
    Abstract: Embodiments of the present invention relate to knowledge representation systems which include a knowledge base in which knowledge is represented in a structured, machine-readable format that encodes meaning. Techniques for extracting structured knowledge from unstructured text and for determining the reliability of such extracted knowledge are also described.
    Type: Grant
    Filed: August 17, 2015
    Date of Patent: September 28, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Simon Overell, William Tunstall-Pedoe
  • Patent number: 10380708
    Abstract: Techniques are described for determining whether a submitted work, such as a manuscript submitted for publication as an electronic book, is consistent with other published works associated with a fictional world, universe, or other framework. A set of constraints may be determined based on a semantic analysis of the published works of a framework, the constraint(s) describing attributes of noun objects or relationships between noun objects in the published work(s). Statements may be determined by applying the semantic analysis to the submitted work. Inconsistencies between the statements and the constraints may be identified and communicated to reviewers, for use in determining whether to publish the work. Comparison of the statements to the constraints may be made through reference to other statements included in a knowledge base of information regarding the framework.
    Type: Grant
    Filed: September 10, 2014
    Date of Patent: August 13, 2019
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Oliver Nam Wong, Divya Mahalingam, William Tunstall-Pedoe, Jennifer Amy Sadler
  • Publication number: 20180157960
    Abstract: A system and method is disclosed for improving automated question-answering using real-world knowledge from a knowledge base. The system can be used to answer questions from various users. The system can generate answers to these questions using data stored in a knowledge base. In some embodiments, the system is provided with a list of questions separate from any user questions. The system can be trained using these questions in advance of a user question. The system can process the presented questions to determine that it can generate high-quality correct answers. The system can take various steps to determine a high-quality answer to a question. The system can utilize human intelligence providers to improve this process, such as through a human interactive task system. Human intelligence can be used to determine that a question is understood, that a question is answered, and that the answer is of high quality.
    Type: Application
    Filed: February 27, 2017
    Publication date: June 7, 2018
    Inventors: Petra Elisabeth Holmes, Andrew Graham Fenn, Andrew Hopkinson, David Spike Palfrey, William Tunstall-Pedoe, Neil Copland
  • Publication number: 20180096025
    Abstract: Computer implemented systems and methods are described that enable customers to search for a product, and obtain a list of retail locations that are likely to provide that product without any need for any specific information about the stock or products held by that retailer.
    Type: Application
    Filed: October 27, 2017
    Publication date: April 5, 2018
    Inventors: William Tunstall-Pedoe, Petra Elisabeth Holmes, Jonathan Gough
  • Patent number: 9805089
    Abstract: Computer implemented systems and methods are described that enable customers to search for a product, and obtain a list of retail locations that are likely to provide that product without any need for any specific information about the stock or products held by that retailer.
    Type: Grant
    Filed: February 8, 2010
    Date of Patent: October 31, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: William Tunstall-Pedoe, Petra Elisabeth Holmes, Jonathan Gough
  • Patent number: 9659052
    Abstract: A system and method to recognize and resolve when a source data object is the same or similar to an existing data object in a database using structured information and facts about each object. The system and method compare relations of the source data object and relations of the existing data object in the database and determine how similar the source data object is to the data object in the database based on scores of the comparisons. The system and method may provide outputs, such as whether the data objects match, the data objects are distinct, the source data object is a strong match to multiple data objects in the database, and the data objects conflict one another. The system and method may then resolve the database entries based on the potential matching outputs.
    Type: Grant
    Filed: September 26, 2013
    Date of Patent: May 23, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Barry Dean Glennon, David Spike Palfrey, William Tunstall-Pedoe, Duncan Joseph Reynolds, Petra Elisabeth Holmes, Gregory Christopher Doran
  • Patent number: 9646260
    Abstract: Techniques are described for adding knowledge to a knowledge base in which alternative information retrieval techniques are used to obtain missing information from an available corpus of documents (e.g., the World Wide Web). Existing relationships in a knowledge base are used to identify entities for which the relationships are not expressed in the knowledge base. The alternative information retrieval techniques are then used to find this information.
    Type: Grant
    Filed: June 24, 2013
    Date of Patent: May 9, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: William Tunstall-Pedoe, Jianhan Zhu, Gregory Christopher Doran, Petra Elisabeth Holmes, David Spike Palfrey
  • Patent number: 9582757
    Abstract: A system and method is disclosed for improving automated question-answering using real-world knowledge from a knowledge base. The system can be used to answer questions from various users. The system can generate answers to these questions using data stored in a knowledge base. In some embodiments, the system is provided with a list of questions separate from any user questions. The system can be trained using these questions in advance of a user question. The system can process the presented questions to determine that it can generate high-quality correct answers. The system can take various steps to determine a high-quality answer to a question. The system can utilize human intelligence providers to improve this process, such as through a human interactive task system. Human intelligence can be used to determine that a question is understood, that a question is answered, and that the answer is of high quality.
    Type: Grant
    Filed: July 25, 2014
    Date of Patent: February 28, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Petra Elisabeth Holmes, Andrew Graham Fenn, Andrew Hopkinson, David Spike Palfrey, William Tunstall-Pedoe, Neil Copland
  • Patent number: 9548053
    Abstract: Devices, methods, and systems for detecting wake words and audio commands that should be disregarded are disclosed. In some instances, a local device may receive a wake word or audible command transmitted or uttered in a television or radio advertisement, program, broadcast, etc. In these instances, the local device should disregard such wake words and audible commands, as they are not from a user of the local device. To detect such wake words and commands, audio fingerprinting and speech recognition techniques may be used to determine whether the wake word and/or command substantially matches the audio of a known television or radio advertisement, program, broadcast, etc. If the wake word and/or command substantially matches, the local device may then disregard the command.
    Type: Grant
    Filed: September 19, 2014
    Date of Patent: January 17, 2017
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Kenneth John Basye, William Tunstall-Pedoe
  • Patent number: 9519681
    Abstract: Embodiments of the present invention relate to knowledge representation systems which include a knowledge base in which knowledge is represented in a structured, machine-readable format that encodes meaning.
    Type: Grant
    Filed: August 11, 2014
    Date of Patent: December 13, 2016
    Assignee: Amazon Technologies, Inc.
    Inventor: William Tunstall-Pedoe
  • Patent number: 9466294
    Abstract: Techniques for facilitating transactions are described in which the system facilitating the transaction engages in natural language dialog with the user to achieve the desired result. Instead of treating successive input independently, the system maintains a dialog context in which information generated in response to recent input may be used to inform responses to further input.
    Type: Grant
    Filed: May 21, 2013
    Date of Patent: October 11, 2016
    Assignee: Amazon Technologies, Inc.
    Inventors: William Tunstall-Pedoe, Andrew Graham Fenn, Robert Peter Stacey, Adam John Philip Wood
  • Patent number: 9436681
    Abstract: Techniques are described for translating natural language input to a machine-readable form that accurately represents the semantic meaning of the input intended by the user.
    Type: Grant
    Filed: July 16, 2013
    Date of Patent: September 6, 2016
    Assignee: Amazon Technologies, Inc.
    Inventors: William Tunstall-Pedoe, Robert Peter Stacey, Thomas Ashton, Adam John Phillip Wood
  • Patent number: 9286910
    Abstract: A system for resolving a user's question regarding media at the user's location where the question includes ambiguity as to the context of the question. Context information is acquired from a device or devices at the user's location, and if multiple possible contexts are identified, the system may attempt to resolve the question for more than one of the possible contexts. The system for answering questions and the source of the media may be different and independent.
    Type: Grant
    Filed: March 13, 2014
    Date of Patent: March 15, 2016
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Meng Li, Duncan Joseph Reynolds, William Tunstall-Pedoe, Petra Elisabeth Holmes, Robert Peter Stacey, David Spike Palfrey, Andrew Graham Fenn, Mark Rafn, Graham John French
  • Publication number: 20150356463
    Abstract: Embodiments of the present invention relate to knowledge representation systems which include a knowledge base in which knowledge is represented in a structured, machine-readable format that encodes meaning. Techniques for extracting structured knowledge from unstructured text and for determining the reliability of such extracted knowledge are also described.
    Type: Application
    Filed: August 17, 2015
    Publication date: December 10, 2015
    Inventors: Simon Overell, William Tunstall-Pedoe
  • Patent number: 9110882
    Abstract: Embodiments of the present invention relate to knowledge representation systems which include a knowledge base in which knowledge is represented in a structured, machine-readable format that encodes meaning. Techniques for extracting structured knowledge from unstructured text and for determining the reliability of such extracted knowledge are also described.
    Type: Grant
    Filed: May 12, 2011
    Date of Patent: August 18, 2015
    Assignee: Amazon Technologies, Inc.
    Inventors: Simon Overell, William Tunstall-Pedoe
  • Patent number: 9098492
    Abstract: A knowledge storage system is described. A specific embodiment is a computer system comprising a knowledge base of general knowledge in structured form which can be added to and queried by untrained users. Various embodiments include the facility for remote computers to access the knowledge stored in the system, natural language questions to be answered, profile screens giving general knowledge about an object in the system, and methods for distinguishing between reliable and unreliable facts.
    Type: Grant
    Filed: May 17, 2013
    Date of Patent: August 4, 2015
    Assignee: Amazon Technologies, Inc.
    Inventor: William Tunstall-Pedoe
  • Publication number: 20140351281
    Abstract: Embodiments of the present invention relate to knowledge representation systems which include a knowledge base in which knowledge is represented in a structured, machine-readable format that encodes meaning.
    Type: Application
    Filed: August 11, 2014
    Publication date: November 27, 2014
    Inventor: William Tunstall-Pedoe
  • Patent number: 8838659
    Abstract: Embodiments of the present invention relate to knowledge representation systems which include a knowledge base in which knowledge is represented in a structured, machine-readable format that encodes meaning.
    Type: Grant
    Filed: September 29, 2008
    Date of Patent: September 16, 2014
    Assignee: Amazon Technologies, Inc.
    Inventor: William Tunstall-Pedoe