Patents by Inventor Wilson Hsu
Wilson Hsu 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).
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Patent number: 11817101Abstract: 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: GrantFiled: November 4, 2020Date of Patent: November 14, 2023Assignee: Microsoft Technology Licensing, LLCInventors: Wilson Hsu, Kaheer Suleman, Joshua Pantony
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Patent number: 11727042Abstract: 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: GrantFiled: July 17, 2015Date of Patent: August 15, 2023Assignee: Microsoft Technology Licensing, LLCInventors: Kaheer Suleman, Wilson Hsu
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Publication number: 20210074297Abstract: 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: ApplicationFiled: November 4, 2020Publication date: March 11, 2021Applicant: Microsoft Technology Licensing, LLCInventors: Wilson HSU, Kaheer SULEMAN, Joshua PANTONY
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Patent number: 10885918Abstract: 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: GrantFiled: September 18, 2014Date of Patent: January 5, 2021Assignee: Microsoft Technology Licensing, LLCInventors: Wilson Hsu, Kaheer Suleman, Joshua Pantony
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Patent number: 10853582Abstract: 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: GrantFiled: September 19, 2019Date of Patent: December 1, 2020Assignee: Microsoft Technology Licensing, LLCInventors: Sam Pasupalak, Joshua R. Pantony, Wilson Hsu, Zhiyuan Wu, Phil Tregenza, Kaheer Suleman, James Simpson, Andrew McNamara, Tareq Ismail
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Publication number: 20200012721Abstract: 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: ApplicationFiled: September 19, 2019Publication date: January 9, 2020Applicant: Maluuba Inc.Inventors: Sam PASUPALAK, Joshua R. PANTONY, Wilson HSU, Zhiyuan WU, Phil TREGENZA, Kaheer SULEMAN, James SIMPSON, Andrew MCNAMARA, Tareq ISMAIL
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Patent number: 10452783Abstract: 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: GrantFiled: May 14, 2018Date of Patent: October 22, 2019Assignee: Maluuba, Inc.Inventors: Sam Pasupalak, Joshua R. Pantony, Wilson Hsu, Zhiyuan Wu, Phil Tregenza, Kaheer Suleman, James Simpson, Andrew McNamara, Tareq Ismail
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Publication number: 20190272269Abstract: 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: ApplicationFiled: May 13, 2019Publication date: September 5, 2019Applicant: Maluuba Inc.Inventors: Kaheer SULEMAN, Joshua R. PANTONY, Wilson HSU, Zhiyuan WU, Phil TREGENZA, Sam PASUPALAK
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Patent number: 10387410Abstract: 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: GrantFiled: July 19, 2012Date of Patent: August 20, 2019Assignee: Maluuba Inc.Inventors: Kaheer Suleman, Joshua R. Pantony, Wilson Hsu, Zhiyuan Wu, Phil Tregenza, Sam Pasupalak
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Publication number: 20190171969Abstract: Provided is a system, method and computer-readable medium for generating data that may be used to train models for a natural language processing application. A system architect creates a plurality of sentence patterns that include entity variables and initiates sentence generation. Each entity is associated with one or more entity data sources. A language generator accepts the sentence patterns as inputs, and references the various entity sources to create a plurality of generated sentences. The generated sentences may be associated with a particular class and therefore used to train one or more statistical classification models and entity extraction models for associated models. The sentence generated process may be initiated and controlled using a user interface displayable on a computing device, the user interface in communication with the language generator module.Type: ApplicationFiled: January 23, 2019Publication date: June 6, 2019Applicant: Maluuba, Inc.Inventors: Siwei YANG, Wilson HSU, Zhiyuan WU
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Patent number: 10223445Abstract: Methods and a natural language processor for processing a natural language query are provided. The processor includes a classifier, a rule-based pre-processor, a rule-based post-processor, a named entity recognizer, and an output module. The method involves receiving a text representation of the natural language query, pre-processing the text representation, applying a classification statistical model to the text representation when pre-processing fails, applying a post-processing rule, and performing name entity recognition.Type: GrantFiled: September 18, 2014Date of Patent: March 5, 2019Assignee: Maluuba Inc.Inventors: Kaheer Suleman, Adrian Petrescu, Joshua Pantony, Wilson Hsu, Julian Brooke
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Patent number: 10217059Abstract: Provided is a system, method and computer-readable medium for generating data that may be used to train models for a natural language processing application. A system architect creates a plurality of sentence patterns that include entity variables and initiates sentence generation. Each entity is associated with one or more entity data sources. A language generator accepts the sentence patterns as inputs, and references the various entity sources to create a plurality of generated sentences. The generated sentences may be associated with a particular class and therefore used to train one or more statistical classification models and entity extraction models for associated models. The sentence generated process may be initiated and controlled using a user interface displayable on a computing device, the user interface in communication with the language generator module.Type: GrantFiled: February 4, 2014Date of Patent: February 26, 2019Assignee: Maluuba Inc.Inventors: Siwei Yang, Wilson Hsu, Zhiyuan Wu
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Publication number: 20180260384Abstract: 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: ApplicationFiled: May 14, 2018Publication date: September 13, 2018Applicant: Maluuba Inc.Inventors: Sam PASUPALAK, Joshua R. PANTONY, Wilson HSU, Zhiyuan WU, Phil TREGENZA, Kaheer SULEMAN, James SIMPSON, Andrew MCNAMARA, Tareq ISMAIL
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Patent number: 9971766Abstract: 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: GrantFiled: February 17, 2017Date of Patent: May 15, 2018Assignee: Maluuba Inc.Inventors: Sam Pasupalak, Joshua R. Pantony, Wilson Hsu, Zhiyuan Wu, Phil Tregenza, Kaheer Suleman, James Simpson, Andrew McNamara, Tareq Ismail
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Publication number: 20170228367Abstract: 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: ApplicationFiled: February 17, 2017Publication date: August 10, 2017Inventors: Sam PASUPALAK, Joshua R. PANTONY, Wilson HSU, Zhiyuan WU, Phil TREGENZA, Kaheer SULEMAN, James SIMPSON, Andrew McNAMARA, Tareq ISMAIL
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Publication number: 20170154105Abstract: 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 codes to direct a processor to carry out the method.Type: ApplicationFiled: July 17, 2015Publication date: June 1, 2017Inventors: Kaheer SULEMAN, Wilson HSU
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Patent number: 9575963Abstract: 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: GrantFiled: April 22, 2013Date of Patent: February 21, 2017Assignee: MALUUBA INC.Inventors: Sam Pasupalak, Joshua R. Pantony, Wilson Hsu, Zhiyuan Wu, Phil Tregenza, Kaheer Suleman, James Simpson, Andrew McNamara, Tareq Ismail
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Publication number: 20150220511Abstract: Provided is a system, method and computer-readable medium for generating data that may be used to train models for a natural language processing application. A system architect creates a plurality of sentence patterns that include entity variables and initiates sentence generation. Each entity is associated with one or more entity data sources. A language generator accepts the sentence patterns as inputs, and references the various entity sources to create a plurality of generated sentences. The generated sentences may be associated with a particular class and therefore used to train one or more statistical classification models and entity extraction models for associated models. The sentence generated process may be initiated and controlled using a user interface displayable on a computing device, the user interface in communication with the language generator module.Type: ApplicationFiled: February 4, 2014Publication date: August 6, 2015Applicant: Maluuba Inc.Inventors: Siwei Yang, Wilson Hsu, Zhiyuan Wu
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Publication number: 20150081279Abstract: Methods and a natural language processor for processing a natural language query are provided. The processor includes a classifier, a rule-based pre-processor, a rule-based post-processor, a named entity recognizer, and an output module. The method involves receiving a text representation of the natural language query, pre-processing the text representation, applying a classification statistical model to the text representation when pre-processing fails, applying a post-processing rule, and performing name entity recognition.Type: ApplicationFiled: September 18, 2014Publication date: March 19, 2015Inventors: Kaheer SULEMAN, Adrian PETRESCU, Joshua PANTONY, Wilson HSU, Julian BROOKE
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Publication number: 20150081294Abstract: 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: ApplicationFiled: September 18, 2014Publication date: March 19, 2015Inventors: Wilson HSU, Kaheer SULEMAN, Joshua PANTONY