Patents by Inventor Kaheer Suleman

Kaheer Suleman 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: 12072877
    Abstract: A method and system are provided for processing natural language user queries for commanding a user interface to perform functions. Individual user queries are classified in accordance with the types of functions and a plurality of user queries may be related to define a particular command. To assist with classification, a query type for each user query is determined where the query type is one of a functional query requesting a particular new command to perform a particular type of function, an entity query relating to an entity associated with the particular new command having the particular type of function and a clarification query responding to a clarification question posed to clarify a prior user query having the particular type of function. Functional queries may be processed using a plurality of natural language processing techniques and scores from each technique combined to determine which type of function is commanded.
    Type: Grant
    Filed: May 13, 2019
    Date of Patent: August 27, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Kaheer Suleman, Joshua R. Pantony, Wilson Hsu, Zhiyuan Wu, Phil Tregenza, Sam Pasupalak
  • Publication number: 20240248902
    Abstract: A machine reading comprehension system (MRCS) can analyze a larger-sized document that includes multiple pages to predict an answer to a query. For example, the document can have two, five, tens, or hundreds of pages. The MRCS divides the document into multiple sections with each section including a portion of the document. Each section is processed separately by one or more processing circuitries to determine a score for that section. The score indicates how related the section is to the query and/or a probability that the section provides a possible answer to the query. Once all of the sections have been analyzed, the sections are ranked by their scores and a subset of the ranked sections are processed again to determine a predicted answer to the query.
    Type: Application
    Filed: February 1, 2024
    Publication date: July 25, 2024
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Mahmoud ADADA, Andrew James MCNAMARA, Kaheer SULEMAN, Xihui LIN, En Hui ZHUANG
  • Patent number: 11899675
    Abstract: A machine reading comprehension system (MRCS) can analyze a larger-sized document that includes multiple pages to predict an answer to a query. For example, the document can have two, five, tens, or hundreds of pages. The MRCS divides the document into multiple sections with each section including a portion of the document. Each section is processed separately by one or more processing circuitries to determine a score for that section. The score indicates how related the section is to the query and/or a probability that the section provides a possible answer to the query. Once all of the sections have been analyzed, the sections are ranked by their scores and a subset of the ranked sections are processed again to determine a predicted answer to the query.
    Type: Grant
    Filed: July 1, 2022
    Date of Patent: February 13, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Mahmoud Adada, Andrew James McNamara, Kaheer Suleman, Xihui Lin, En Hui Zhuang
  • Patent number: 11822587
    Abstract: A server, method, and non-transitory computer readable medium for ranking a plurality of data sources are provided. The server includes a network interface, a memory storage unit and a processor. The method involves receiving an input query, identifying entities of the input query using conditional random fields, generating a normalized query and applying a support vector machine to the normalized query. The non-transitory computer readable medium is encoded with programming instructions to direct a processor to carry out the method.
    Type: Grant
    Filed: November 8, 2022
    Date of Patent: November 21, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventor: Kaheer Suleman
  • Patent number: 11817101
    Abstract: A system, method and computer program is provided for generating customized text representations of audio commands. A first speech recognition module may be used for generating a first text representation of an audio command based on a general language grammar. A second speech recognition module may be used for generating a second text representation of the audio command, the second module including a custom language grammar that may include contacts for a particular user. Entity extraction is applied to the second text representation and the entities are checked against a file containing personal language. If the entities are found in the user-specific language, the two text representations may be fused into a combined text representation and named entity recognition may be performed again to extract further entities.
    Type: Grant
    Filed: November 4, 2020
    Date of Patent: November 14, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Wilson Hsu, Kaheer Suleman, Joshua Pantony
  • Patent number: 11727042
    Abstract: A server, method, and non-transitory computer readable medium for classifying queries based on contextual information are provided. The server includes a network interface, a memory storage unit and a processor. The method involves receiving a plurality of queries, analyzing the queries and determining a likelihood divergence and selecting a domain. The non-transitory computer readable medium is encoded with programming instructions to direct a processor to carry out the method.
    Type: Grant
    Filed: July 17, 2015
    Date of Patent: August 15, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Kaheer Suleman, Wilson Hsu
  • Publication number: 20230083335
    Abstract: Described herein are systems and methods that provide a natural language processing system (NLPS) that employs compressed word embeddings. An auto-encoder that includes encoder circuitry and decoder circuitry can be used to produce the compressed word embeddings. The decoder circuitry is trained to decompress the word embeddings with reduced or minimal differences between the original uncompressed word embeddings and the corresponding decompressed word embeddings. One or more parameters of the trained decoder circuitry are transferred to the NLPS, where the NLPS is then trained using the compressed word embeddings to improve the correctness of the responses or actions determined by the NLPS.
    Type: Application
    Filed: November 18, 2022
    Publication date: March 16, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Xihui LIN, Andrew James MCNAMARA, Kaheer SULEMAN
  • Publication number: 20230056131
    Abstract: A server, method, and non-transitory computer readable medium for ranking a plurality of data sources are provided. The server includes a network interface, a memory storage unit and a processor. The method involves receiving an input query, identifying entities of the input query using conditional random fields, generating a normalized query and applying a support vector machine to the normalized query. The non-transitory computer readable medium is encoded with programming instructions to direct a processor to carry out the method.
    Type: Application
    Filed: November 8, 2022
    Publication date: February 23, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventor: Kaheer SULEMAN
  • Patent number: 11526542
    Abstract: A server, method, and non-transitory computer readable medium for ranking a plurality of data sources are provided. The server includes a network interface, a memory storage unit and a processor. The method involves receiving an input query, identifying entities of the input query using conditional random fields, generating a normalized query and applying a support vector machine to the normalized query. The non-transitory computer readable medium is encoded with programming instructions to direct a processor to carry out the method.
    Type: Grant
    Filed: November 12, 2020
    Date of Patent: December 13, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventor: Kaheer Suleman
  • Publication number: 20220335051
    Abstract: A machine reading comprehension system (MRCS) can analyze a larger-sized document that includes multiple pages to predict an answer to a query. For example, the document can have two, five, tens, or hundreds of pages. The MRCS divides the document into multiple sections with each section including a portion of the document. Each section is processed separately by one or more processing circuitries to determine a score for that section. The score indicates how related the section is to the query and/or a probability that the section provides a possible answer to the query. Once all of the sections have been analyzed, the sections are ranked by their scores and a subset of the ranked sections are processed again to determine a predicted answer to the query.
    Type: Application
    Filed: July 1, 2022
    Publication date: October 20, 2022
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Mahmoud ADADA, Andrew James MCNAMARA, Kaheer SULEMAN, Xihui LIN, En Hui ZHUANG
  • Patent number: 11409749
    Abstract: A machine reading comprehension system (MRCS) can analyze a larger-sized document that includes multiple pages to predict an answer to a query. For example, the document can have two, five, tens, or hundreds of pages. The MRCS divides the document into multiple sections with each section including a portion of the document. Each section is processed separately by one or more processing circuitries to determine a score for that section. The score indicates how related the section is to the query and/or a probability that the section provides a possible answer to the query. Once all of the sections have been analyzed, the sections are ranked by their scores and a subset of the ranked sections are processed again to determine a predicted answer to the query.
    Type: Grant
    Filed: November 9, 2017
    Date of Patent: August 9, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Mahmoud Adada, Andrew James McNamara, Kaheer Suleman, Xihui Lin, En Hui Zhuang
  • Publication number: 20210141819
    Abstract: A server, method, and non-transitory computer readable medium for ranking a plurality of data sources are provided. The server includes a network interface, a memory storage unit and a processor. The method involves receiving an input query, identifying entities of the input query using conditional random fields, generating a normalized query and applying a support vector machine to the normalized query. The non-transitory computer readable medium is encoded with programming instructions to direct a processor to carry out the method.
    Type: Application
    Filed: November 12, 2020
    Publication date: May 13, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventor: Kaheer SULEMAN
  • Publication number: 20210074297
    Abstract: A system, method and computer program is provided for generating customized text representations of audio commands. A first speech recognition module may be used for generating a first text representation of an audio command based on a general language grammar. A second speech recognition module may be used for generating a second text representation of the audio command, the second module including a custom language grammar that may include contacts for a particular user. Entity extraction is applied to the second text representation and the entities are checked against a file containing personal language. If the entities are found in the user-specific language, the two text representations may be fused into a combined text representation and named entity recognition may be performed again to extract further entities.
    Type: Application
    Filed: November 4, 2020
    Publication date: March 11, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Wilson HSU, Kaheer SULEMAN, Joshua PANTONY
  • Patent number: 10885918
    Abstract: A system, method and computer program is provided for generating customized text representations of audio commands. A first speech recognition module may be used for generating a first text representation of an audio command based on a general language grammar. A second speech recognition module may be used for generating a second text representation of the audio command, the second module including a custom language grammar that may include contacts for a particular user. Entity extraction is applied to the second text representation and the entities are checked against a file containing personal language. If the entities are found in the user-specific language, the two text representations may be fused into a combined text representation and named entity recognition may be performed again to extract further entities.
    Type: Grant
    Filed: September 18, 2014
    Date of Patent: January 5, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Wilson Hsu, Kaheer Suleman, Joshua Pantony
  • Patent number: 10860627
    Abstract: A server, method, and non-transitory computer readable medium for ranking a plurality of data sources are provided. The server includes a network interface, a memory storage unit and a processor. The method involves receiving an input query, identifying entities of the input query using conditional random fields, generating a normalized query and applying a support vector machine to the normalized query. The non-transitory computer readable medium is encoded with programming instructions to direct a processor to carry out the method.
    Type: Grant
    Filed: June 16, 2015
    Date of Patent: December 8, 2020
    Assignee: Microsoft Technology Licensing LLC
    Inventor: Kaheer Suleman
  • Patent number: 10853582
    Abstract: A method, system, and computer program product provide a conversation agent to process natural language queries expressed by a user and perform commands according to the derived intention of the user. A natural language processing (NLP) engine derives intent using conditional random fields to identify a domain and at least one task embodied in the query. The NLP may further identify one or more subdomains, and one or more entities related to the identified command. A template system creates a data structure for information relevant to the derived intent and passes a template to a services manager for interfacing with one or more services capable of accomplishing the task. A dialogue manager may elicit more entities from the user if required by the services manager and otherwise engage in conversation with the user. In one embodiment, the conversational agent allows a user to engage in multiple conversations simultaneously.
    Type: Grant
    Filed: September 19, 2019
    Date of Patent: December 1, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Sam Pasupalak, Joshua R. Pantony, Wilson Hsu, Zhiyuan Wu, Phil Tregenza, Kaheer Suleman, James Simpson, Andrew McNamara, Tareq Ismail
  • Publication number: 20200012721
    Abstract: A method, system, and computer program product provide a conversation agent to process natural language queries expressed by a user and perform commands according to the derived intention of the user. A natural language processing (NLP) engine derives intent using conditional random fields to identify a domain and at least one task embodied in the query. The NLP may further identify one or more subdomains, and one or more entities related to the identified command. A template system creates a data structure for information relevant to the derived intent and passes a template to a services manager for interfacing with one or more services capable of accomplishing the task. A dialogue manager may elicit more entities from the user if required by the services manager and otherwise engage in conversation with the user. In one embodiment, the conversational agent allows a user to engage in multiple conversations simultaneously.
    Type: Application
    Filed: September 19, 2019
    Publication date: January 9, 2020
    Applicant: Maluuba Inc.
    Inventors: Sam PASUPALAK, Joshua R. PANTONY, Wilson HSU, Zhiyuan WU, Phil TREGENZA, Kaheer SULEMAN, James SIMPSON, Andrew MCNAMARA, Tareq ISMAIL
  • Patent number: 10467259
    Abstract: A server, method, and non-transitory computer readable medium for classifying a query into one of a plurality of classes are provided. The server includes a network interface, a memory storage unit and a processor. The method involves receiving a query applying a plurality of support vector machine models, calculating a probability, and determining a top class. The non-transitory computer readable medium is encoded with codes to direct a processor to carry out the method.
    Type: Grant
    Filed: June 16, 2015
    Date of Patent: November 5, 2019
    Assignee: Maluuba Inc.
    Inventors: Kaheer Suleman, Jing He, Tavian Barnes
  • Patent number: 10452783
    Abstract: A method, system, and computer program product provide a conversation agent to process natural language queries expressed by a user and perform commands according to the derived intention of the user. A natural language processing (NLP) engine derives intent using conditional random fields to identify a domain and at least one task embodied in the query. The NLP may further identify one or more subdomains, and one or more entities related to the identified command. A template system creates a data structure for information relevant to the derived intent and passes a template to a services manager for interfacing with one or more services capable of accomplishing the task. A dialog manager may elicit more entities from the user if required by the services manager and otherwise engage in conversation with the user. In one embodiment, the conversational agent allows a user to engage in multiple conversations simultaneously.
    Type: Grant
    Filed: May 14, 2018
    Date of Patent: October 22, 2019
    Assignee: Maluuba, Inc.
    Inventors: Sam Pasupalak, Joshua R. Pantony, Wilson Hsu, Zhiyuan Wu, Phil Tregenza, Kaheer Suleman, James Simpson, Andrew McNamara, Tareq Ismail
  • Patent number: 10437929
    Abstract: Disclosed embodiments include systems and methods relevant to improvements to natural language processing used to determine an intent and one or more associated parameters from 5 a given input string. In an example, an input string is received and first and second different n-grams are applied to the input string. Recurrent neural network models are then used to generate output data based in part on the first and second different n-grams. In particular embodiments a recurrent neural network in both forward and backward directions specific to unigrams is applied. Intent detection and semantic labeling are applied to the output of the recurrent neural network models.
    Type: Grant
    Filed: March 31, 2017
    Date of Patent: October 8, 2019
    Assignee: MALUUBA INC.
    Inventors: Jing He, Jean Merheb-Harb, Zheng Ye, Kaheer Suleman