Patents by Inventor Rushin N. SHAH
Rushin N. SHAH 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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Publication number: 20220214775Abstract: Systems and processes are disclosed for virtual assistant request recognition using live usage data and data relating to future events. User requests that are received but not recognized can be used to generate candidate request templates. A count can be associated with each candidate request template and can be incremented each time a matching candidate request template is received. When a count reaches a threshold level, the corresponding candidate request template can be used to train a virtual assistant to recognize and respond to similar user requests in the future. In addition, data relating to future events can be mined to extract relevant information that can be used to populate both recognized user request templates and candidate user request templates. Populated user request templates (e.g., whole expected utterances) can then be used to recognize user requests and disambiguate user intent as future events become relevant.Type: ApplicationFiled: March 24, 2022Publication date: July 7, 2022Inventors: Rushin N. SHAH, Devang K. NAIK
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Patent number: 11314370Abstract: Systems and processes are disclosed for virtual assistant request recognition using live usage data and data relating to future events. User requests that are received but not recognized can be used to generate candidate request templates. A count can be associated with each candidate request template and can be incremented each time a matching candidate request template is received. When a count reaches a threshold level, the corresponding candidate request template can be used to train a virtual assistant to recognize and respond to similar user requests in the future. In addition, data relating to future events can be mined to extract relevant information that can be used to populate both recognized user request templates and candidate user request templates. Populated user request templates (e.g., whole expected utterances) can then be used to recognize user requests and disambiguate user intent as future events become relevant.Type: GrantFiled: September 27, 2018Date of Patent: April 26, 2022Assignee: APPLE INC.Inventors: Rushin N. Shah, Devang K. Naik
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Patent number: 11301477Abstract: Systems and processes for operating an intelligent automated assistant are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, obtaining a first set of data corresponding to one or more interactions between a user and the digital assistant on the electronic device; obtaining a second set of data corresponding to one or more interactions between the user and an application on the electronic device; and storing the first set of data and the second set of data. The method further includes receiving a set of executable instructions; processing, based on the received set of executable instructions, the first set of data and the second set of data to obtain a third set of data; and transmitting the third set of data to a remote electronic device.Type: GrantFiled: August 11, 2017Date of Patent: April 12, 2022Assignee: Apple Inc.Inventors: Gennaro Frazzingaro, Ashish Garg, Blaise Thomson, Anuj Kumar, Rushin N. Shah, Matthew S. Seigel, Lin Li
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Patent number: 10741181Abstract: Speech recognition is performed on a received utterance to determine a plurality of candidate text representations of the utterance, including a primary text representation and one or more alternative text representations. Natural language processing is performed on the primary text representation to determine a plurality of candidate actionable intents, including a primary actionable intent and one or more alternative actionable intents. A result is determined based on the primary actionable intent. The result is provided to the user. A recognition correction trigger is detected. In response to detecting the recognition correction trigger, a set of alternative intent affordances and a set of alternative text affordances are concurrently displayed.Type: GrantFiled: May 14, 2019Date of Patent: August 11, 2020Assignee: Apple Inc.Inventors: Ashish Garg, Harry J. Saddler, Shweta Grampurohit, Robert A. Walker, Rushin N. Shah, Matthew S. Seigel, Matthias Paulik
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Publication number: 20190318739Abstract: Speech recognition is performed on a received utterance to determine a plurality of candidate text representations of the utterance, including a primary text representation and one or more alternative text representations. Natural language processing is performed on the primary text representation to determine a plurality of candidate actionable intents, including a primary actionable intent and one or more alternative actionable intents. A result is determined based on the primary actionable intent. The result is provided to the user. A recognition correction trigger is detected. In response to detecting the recognition correction trigger, a set of alternative intent affordances and a set of alternative text affordances are concurrently displayed.Type: ApplicationFiled: May 14, 2019Publication date: October 17, 2019Inventors: Ashish GARG, Harry J. SADDLER, Shweta GRAMPUROHIT, Robert A. WALKER, Rushin N. SHAH, Matthew S. SEIGEL, Matthias PAULIK
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Patent number: 10445429Abstract: Systems and processes for natural language processing using vocabularies with compressed serialized tries are described in the present disclosure. In one example process, natural language input is received. The natural language input is parsed, using a vocabulary, to determine a corresponding user intent. The parsing includes using a data structure of the vocabulary to map a first word of the natural language input to first semantic information and a second word of the natural language input to second semantic information. The data structure includes pointers that map to a same semantic data object of the vocabulary. The first semantic information and the second semantic information are determined using the same semantic data object. The user intent is determined based on the first semantic information and the second semantic information. Performance of a task corresponding to the determined user intent is initiated.Type: GrantFiled: January 10, 2018Date of Patent: October 15, 2019Assignee: Apple Inc.Inventors: Mubarak Ali Seyed Ibrahim, Juan C. Garcia, Rushin N. Shah, Nicholas K. Treadgold, Justin J. Brinegar, Gagan Aneja, Alan Qian
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Patent number: 10332518Abstract: Speech recognition is performed on a received utterance to determine a plurality of candidate text representations of the utterance, including a primary text representation and one or more alternative text representations. Natural language processing is performed on the primary text representation to determine a plurality of candidate actionable intents, including a primary actionable intent and one or more alternative actionable intents. A result is determined based on the primary actionable intent. The result is provided to the user. A recognition correction trigger is detected. In response to detecting the recognition correction trigger, a set of alternative intent affordances and a set of alternative text affordances are concurrently displayed.Type: GrantFiled: August 15, 2017Date of Patent: June 25, 2019Assignee: Apple Inc.Inventors: Ashish Garg, Harry J. Saddler, Shweta Grampurohit, Robert A. Walker, Rushin N. Shah, Matthew S. Seigel, Matthias Paulik
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Patent number: 10296160Abstract: Systems and processes are disclosed for virtual assistant request recognition using live usage data and data relating to future events. User requests that are received but not recognized can be used to generate candidate request templates. A count can be associated with each candidate request template and can be incremented each time a matching candidate request template is received. When a count reaches a threshold level, the corresponding candidate request template can be used to train a virtual assistant to recognize and respond to similar user requests in the future. In addition, data relating to future events can be mined to extract relevant information that can be used to populate both recognized user request templates and candidate user request templates. Populated user request templates (e.g., whole expected utterances) can then be used to recognize user requests and disambiguate user intent as future events become relevant.Type: GrantFiled: December 6, 2013Date of Patent: May 21, 2019Assignee: APPLE INC.Inventors: Rushin N. Shah, Devang K. Naik
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Publication number: 20190087412Abstract: Systems and processes for natural language processing using vocabularies with compressed serialized tries are described in the present disclosure. In one example process, natural language input is received. The natural language input is parsed, using a vocabulary, to determine a corresponding user intent. The parsing includes using a data structure of the vocabulary to map a first word of the natural language input to first semantic information and a second word of the natural language input to second semantic information. The data structure includes pointers that map to a same semantic data object of the vocabulary. The first semantic information and the second semantic information are determined using the same semantic data object. The user intent is determined based on the first semantic information and the second semantic information. Performance of a task corresponding to the determined user intent is initiated.Type: ApplicationFiled: January 10, 2018Publication date: March 21, 2019Inventors: Mubarak Ali SEYED IBRAHIM, Juan C. GARCIA, Rushin N. SHAH, Nicholas K. TREADGOLD, Justin J. BRINEGAR, Gagan Aneja, Alan Qian
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Publication number: 20190034040Abstract: Systems and processes are disclosed for virtual assistant request recognition using live usage data and data relating to future events. User requests that are received but not recognized can be used to generate candidate request templates. A count can be associated with each candidate request template and can be incremented each time a matching candidate request template is received. When a count reaches a threshold level, the corresponding candidate request template can be used to train a virtual assistant to recognize and respond to similar user requests in the future. In addition, data relating to future events can be mined to extract relevant information that can be used to populate both recognized user request templates and candidate user request templates. Populated user request templates (e.g., whole expected utterances) can then be used to recognize user requests and disambiguate user intent as future events become relevant.Type: ApplicationFiled: September 27, 2018Publication date: January 31, 2019Inventors: Rushin N. SHAH, Devang K. NAIK
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Publication number: 20180329957Abstract: Systems and processes for operating an intelligent automated assistant are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, obtaining a first set of data corresponding to one or more interactions between a user and the digital assistant on the electronic device; obtaining a second set of data corresponding to one or more interactions between the user and an application on the electronic device; and storing the first set of data and the second set of data. The method further includes receiving a set of executable instructions; processing, based on the received set of executable instructions, the first set of data and the second set of data to obtain a third set of data; and transmitting the third set of data to a remote electronic device.Type: ApplicationFiled: August 11, 2017Publication date: November 15, 2018Inventors: Gennaro FRAZZINGARO, Ashish GARG, Blaise THOMSON, Anuj KUMAR, Rushin N. SHAH, Matthew S. SEIGEL, Lin LI
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Publication number: 20180330730Abstract: Speech recognition is performed on a received utterance to determine a plurality of candidate text representations of the utterance, including a primary text representation and one or more alternative text representations. Natural language processing is performed on the primary text representation to determine a plurality of candidate actionable intents, including a primary actionable intent and one or more alternative actionable intents. A result is determined based on the primary actionable intent. The result is provided to the user. A recognition correction trigger is detected. In response to detecting the recognition correction trigger, a set of alternative intent affordances and a set of alternative text affordances are concurrently displayed.Type: ApplicationFiled: August 15, 2017Publication date: November 15, 2018Inventors: Ashish GARG, Harry J. SADDLER, Shweta GRAMPUROHIT, Robert A. WALKER, Rushin N. SHAH, Matthew S. SEIGEL, Matthias PAULIK
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Publication number: 20150161521Abstract: Systems and processes are disclosed for virtual assistant request recognition using live usage data and data relating to future events. User requests that are received but not recognized can be used to generate candidate request templates. A count can be associated with each candidate request template and can be incremented each time a matching candidate request template is received. When a count reaches a threshold level, the corresponding candidate request template can be used to train a virtual assistant to recognize and respond to similar user requests in the future. In addition, data relating to future events can be mined to extract relevant information that can be used to populate both recognized user request templates and candidate user request templates. Populated user request templates (e.g., whole expected utterances) can then be used to recognize user requests and disambiguate user intent as future events become relevant.Type: ApplicationFiled: December 6, 2013Publication date: June 11, 2015Applicant: APPLE INC.Inventors: Rushin N. SHAH, Devang K. NAIK