Patents by Inventor Tasos Anastasakos
Tasos Anastasakos 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: 20220392432Abstract: Systems and methods for speech recognition correction include receiving a voice recognition input from an individual user and using a trained error correction model to add a new alternative result to a results list based on the received voice input processed by a voice recognition system. The error correction model is trained using contextual information corresponding to the individual user. The contextual information comprises a plurality of historical user correction logs, a plurality of personal class definitions, and an application context. A re-ranker re-ranks the results list with the new alternative result and a top result from the re-ranked results list is output.Type: ApplicationFiled: June 8, 2021Publication date: December 8, 2022Inventors: Issac ALPHONSO, Tasos ANASTASAKOS, Michael LEVIT, Nitin AGARWAL
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Patent number: 10572602Abstract: Tools are provided to allow developers to enable applications for Conversational Understanding (CU) using assets from a CU service. The tools may be used to select functionality from existing domains, extend the coverage of one or more domains, as well as to create new domains in the CU service. A developer may provide example Natural Language (NL) sentences that are analyzed by the tools to assist the developer in labeling data that is used to update the models in the CU service. For example, the tools may assist a developer in identifying domains, determining intent actions, determining intent objects and determining slots from example NL sentences. After the developer tags all or a portion of the example NL sentences, the models in the CU service are automatically updated and validated. For example, validation tools may be used to determine an accuracy of the model against test data.Type: GrantFiled: May 22, 2017Date of Patent: February 25, 2020Assignee: Microsoft Technology Licensing, LLCInventors: Ruhi Sarikaya, Daniel Boies, Larry Heck, Tasos Anastasakos
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Patent number: 10304448Abstract: Environmental conditions, along with other information, are used to adjust a response of a conversational dialog system. The environmental conditions may be used at different times within the conversational dialog system. For example, the environmental conditions can be used to adjust the dialog manager's output (e.g., the machine action). The dialog state information that is used by the dialog manager includes environmental conditions for the current turn in the dialog as well as environmental conditions for one or more past turns in the dialog. The environmental conditions can also be used after receiving the machine action to adjust the response that is provided to the user. For example, the environmental conditions may affect the machine action that is determined as well as how the action is provided to the user. The dialog manager and the response generation components in the conversational dialog system each use the available environmental conditions.Type: GrantFiled: February 21, 2017Date of Patent: May 28, 2019Assignee: Microsoft Technology Licensing, LLCInventors: Daniel Boies, Larry Heck, Tasos Anastasakos, Ruhi Sarikaya
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Patent number: 9892208Abstract: User input expressed as text may be analyzed for determining a type of response, such as an application response, and/or determining a type of task that is requested by the user input. Entity representations may be identified, classified and/or or tagged based on a type of response, type of task and/or a set of entity types. A surface form of an entity, ambiguous entity representation and/or other type of expression within the user input may be resolved, normalized and/or mapped to a normalized value. Normalizing entities and/or entity attributes may involve using a set of normalization rules, a lookup table, one or more machined learned methods, and/or an entity normalization index that associates entities with alternate surface forms derived from web corpora. The normalized value may be used to construct a request to a structured knowledge source and/or an application.Type: GrantFiled: April 2, 2014Date of Patent: February 13, 2018Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Tasos Anastasakos, Alexandre Rochette, Ruhi Sarikaya
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Publication number: 20170255612Abstract: Tools are provided to allow developers to enable applications for Conversational Understanding (CU) using assets from a CU service. The tools may be used to select functionality from existing domains, extend the coverage of one or more domains, as well as to create new domains in the CU service. A developer may provide example Natural Language (NL) sentences that are analyzed by the tools to assist the developer in labeling data that is used to update the models in the CU service. For example, the tools may assist a developer in identifying domains, determining intent actions, determining intent objects and determining slots from example NL sentences. After the developer tags all or a portion of the example NL sentences, the models in the CU service are automatically updated and validated. For example, validation tools may be used to determine an accuracy of the model against test data.Type: ApplicationFiled: May 22, 2017Publication date: September 7, 2017Applicant: Microsoft Technology Licensing, LLCInventors: Ruhi Sarikaya, Daniel Boies, Larry Heck, Tasos Anastasakos
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Patent number: 9697200Abstract: Tools are provided to allow developers to enable applications for Conversational Understanding (CU) using assets from a CU service. The tools may be used to select functionality from existing domains, extend the coverage of one or more domains, as well as to create new domains in the CU service. A developer may provide example Natural Language (NL) sentences that are analyzed by the tools to assist the developer in labeling data that is used to update the models in the CU service. For example, the tools may assist a developer in identifying domains, determining intent actions, determining intent objects and determining slots from example NL sentences. After the developer tags all or a portion of the example NL sentences, the models in the CU service are automatically updated and validated. For example, validation tools may be used to determine an accuracy of the model against test data.Type: GrantFiled: March 21, 2016Date of Patent: July 4, 2017Assignee: Microsoft Technology Licensing, LLCInventors: Ruhi Sarikaya, Daniel Boies, Larry Heck, Tasos Anastasakos
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Publication number: 20170162201Abstract: Environmental conditions, along with other information, are used to adjust a response of a conversational dialog system. The environmental conditions may be used at different times within the conversational dialog system. For example, the environmental conditions can be used to adjust the dialog manager's output (e.g., the machine action). The dialog state information that is used by the dialog manager includes environmental conditions for the current turn in the dialog as well as environmental conditions for one or more past turns in the dialog. The environmental conditions can also be used after receiving the machine action to adjust the response that is provided to the user. For example, the environmental conditions may affect the machine action that is determined as well as how the action is provided to the user. The dialog manager and the response generation components in the conversational dialog system each use the available environmental conditions.Type: ApplicationFiled: February 21, 2017Publication date: June 8, 2017Applicant: Microsoft Technology Licensing, LLCInventors: Daniel Boies, Larry Heck, Tasos Anastasakos, Ruhi Sarikaya
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Patent number: 9589565Abstract: Environmental conditions, along with other information, are used to adjust a response of a conversational dialog system. The environmental conditions may be used at different times within the conversational dialog system. For example, the environmental conditions can be used to adjust the dialog manager's output (e.g., the machine action). The dialog state information that is used by the dialog manager includes environmental conditions for the current turn in the dialog as well as environmental conditions for one or more past turns in the dialog. The environmental conditions can also be used after receiving the machine action to adjust the response that is provided to the user. For example, the environmental conditions may affect the machine action that is determined as well as how the action is provided to the user. The dialog manager and the response generation components in the conversational dialog system each use the available environmental conditions.Type: GrantFiled: June 21, 2013Date of Patent: March 7, 2017Assignee: Microsoft Technology Licensing, LLCInventors: Daniel Boies, Larry Heck, Tasos Anastasakos, Ruhi Sarikaya
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Publication number: 20160203125Abstract: Tools are provided to allow developers to enable applications for Conversational Understanding (CU) using assets from a CU service. The tools may be used to select functionality from existing domains, extend the coverage of one or more domains, as well as to create new domains in the CU service. A developer may provide example Natural Language (NL) sentences that are analyzed by the tools to assist the developer in labeling data that is used to update the models in the CU service. For example, the tools may assist a developer in identifying domains, determining intent actions, determining intent objects and determining slots from example NL sentences. After the developer tags all or a portion of the example NL sentences, the models in the CU service are automatically updated and validated. For example, validation tools may be used to determine an accuracy of the model against test data.Type: ApplicationFiled: March 21, 2016Publication date: July 14, 2016Applicant: Microsoft Technology Licensing, LLCInventors: Ruhi Sarikaya, Daniel Boies, Larry Heck, Tasos Anastasakos
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Patent number: 9311298Abstract: Tools are provided to allow developers to enable applications for Conversational Understanding (CU) using assets from a CU service. The tools may be used to select functionality from existing domains, extend the coverage of one or more domains, as well as to create new domains in the CU service. A developer may provide example Natural Language (NL) sentences that are analyzed by the tools to assist the developer in labeling data that is used to update the models in the CU service. For example, the tools may assist a developer in identifying domains, determining intent actions, determining intent objects and determining slots from example NL sentences. After the developer tags all or a portion of the example NL sentences, the models in the CU service are automatically updated and validated. For example, validation tools may be used to determine an accuracy of the model against test data.Type: GrantFiled: June 21, 2013Date of Patent: April 12, 2016Assignee: Microsoft Technology Licensing, LLCInventors: Ruhi Sarikaya, Daniel Boies, Larry Heck, Tasos Anastasakos
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Publication number: 20150286747Abstract: User input expressed as text may be analyzed for determining a type of response, such as an application response, and/or determining a type of task that is requested by the user input. Entity representations may be identified, classified and/or or tagged based on a type of response, type of task and/or a set of entity types. A surface form of an entity, ambiguous entity representation and/or other type of expression within the user input may be resolved, normalized and/or mapped to a normalized value. Normalizing entities and/or entity attributes may involve using a set of normalization rules, a lookup table, one or more machined learned methods, and/or an entity normalization index that associates entities with alternate surface forms derived from web corpora. The normalized value may be used to construct a request to a structured knowledge source and/or an application.Type: ApplicationFiled: April 2, 2014Publication date: October 8, 2015Applicant: MICROSOFT CORPORATIONInventors: Tasos Anastasakos, Alexandre Rochette, Ruhi Sarikaya
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Publication number: 20140379353Abstract: Environmental conditions, along with other information, are used to adjust a response of a conversational dialog system. The environmental conditions may be used at different times within the conversational dialog system. For example, the environmental conditions can be used to adjust the dialog manager's output (e.g., the machine action). The dialog state information that is used by the dialog manager includes environmental conditions for the current turn in the dialog as well as environmental conditions for one or more past turns in the dialog. The environmental conditions can also be used after receiving the machine action to adjust the response that is provided to the user. For example, the environmental conditions may affect the machine action that is determined as well as how the action is provided to the user. The dialog manager and the response generation components in the conversational dialog system each use the available environmental conditions.Type: ApplicationFiled: June 21, 2013Publication date: December 25, 2014Inventors: Daniel Boies, Larry Heck, Tasos Anastasakos, Ruhi Sarikaya
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Publication number: 20140379326Abstract: Tools are provided to allow developers to enable applications for Conversational Understanding (CU) using assets from a CU service. The tools may be used to select functionality from existing domains, extend the coverage of one or more domains, as well as to create new domains in the CU service. A developer may provide example Natural Language (NL) sentences that are analyzed by the tools to assist the developer in labeling data that is used to update the models in the CU service. For example, the tools may assist a developer in identifying domains, determining intent actions, determining intent objects and determining slots from example NL sentences. After the developer tags all or a portion of the example NL sentences, the models in the CU service are automatically updated and validated. For example, validation tools may be used to determine an accuracy of the model against test data.Type: ApplicationFiled: June 21, 2013Publication date: December 25, 2014Inventors: Ruhi Sarikaya, Daniel Boies, Larry Heck, Tasos Anastasakos
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Publication number: 20140379323Abstract: Different knowledge sources are automatically accessed to identify and obtain additional data to update a conversational dialog system. One of the knowledge sources is initially selected as a seed source. Seed data from the seed source are used to identify related data in at least one other knowledge source. For example, query click logs may be accessed and searched to determine popular queries that use the seed data. A structured knowledge source may be accessed to determine related nodes to the seed data. A query click log, or some other knowledge source, may be used to determine when a node is related to the seed data. Data that is identified to be related may be used to train a language understanding model or update a schema for the SLU system. The data may be automatically annotated or manually annotated.Type: ApplicationFiled: June 20, 2013Publication date: December 25, 2014Inventors: Tasos Anastasakos, Ruhi Sarikaya, Daniel Boies, Larry Heck
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Patent number: 8311885Abstract: An advertisement impression distribution system includes a data processing system operable to generate an allocation plan for serving advertisement impressions. The allocation plan allocates a first portion of advertisement impressions to satisfy guaranteed demand and a second portion of advertisement impressions to satisfy nonguaranteed demand. The data processing system includes an optimizer configured to establish a relationship between the first portion of advertisement impressions and the second portion of advertisement impressions. The relationship defines a range of proportions of allocation of the first portion and the second portion. The optimizer generates a solution maximizing guaranteed demand fairness, non-guaranteed demand revenue, and click value. The solution identifies a determined proportion of the first portion of advertisement impressions to serve and a determined proportion of the second portion of advertisement impressions to serve.Type: GrantFiled: October 30, 2009Date of Patent: November 13, 2012Assignee: Yahoo! Inc.Inventors: Oliver Kennedy, Tasos Anastasakos, Jianchang Mao, Erik Vee, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Jian Yang, John Tomlin
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Patent number: 7921107Abstract: A system is described for generating query suggestions using a network of users and advertisers. The system may include a memory, an interface, and a processor. The memory may store a data representing a network comprising query items linked to advertisement items via link items, wherein each link item comprises a weight representing the strength of the relationship between each query item and advertisement item, a search query item, and a relevance value for each query item. The processor may be operatively connected to the memory and the interface and may identify the data representing the network and receive a search query item. The processor may calculate a relevance value for each additional query item in the network based on its relationship to the received search query item. The processor may then suggest the query items with the highest relevance values to the user via the interface.Type: GrantFiled: July 30, 2007Date of Patent: April 5, 2011Assignee: Yahoo! Inc.Inventors: Chi-Chao Chang, Manish Tayal, Tasos Anastasakos
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Patent number: 7849080Abstract: A system is described for generating query suggestions by integrating valuable query suggestions with experimental query suggestions using a network of users and advertisers. The system may include a memory, an interface, and a processor. The memory may store a historical dataset, a plurality of query suggestions, a plurality of query suggestion values, a query exploit set, a query explore set, and a data describing a network. The processor may identify the plurality of query suggestions in the historical dataset and generate data describing the network based on the historical dataset. The processor may calculate the query suggestion value for each query suggestion and may rank the query suggestions based on the query suggestion values. The processor may generate an exploit set comprising the top ranked query suggestions and an explore set comprising the remainder. The processor may suggest the query suggestions in the exploit set and the explore set.Type: GrantFiled: July 30, 2007Date of Patent: December 7, 2010Assignee: Yahoo! Inc.Inventors: Chi-Chao Chang, Manish Tayal, Tasos Anastasakos
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Publication number: 20100114689Abstract: An advertisement impression distribution system includes a data processing system operable to generate an allocation plan for serving advertisement impressions. The allocation plan allocates a first portion of advertisement impressions to satisfy guaranteed demand and a second portion of advertisement impressions to satisfy non-guaranteed demand. The data processing system includes an optimizer, the optimizer to establish a relationship between the first portion of advertisement impressions and the second portion of advertisement impressions. The relationship defines a range of possible proportions of allocation of the first portion of advertisement impressions and the second portion of advertisement impressions.Type: ApplicationFiled: October 30, 2009Publication date: May 6, 2010Applicant: Yahoo! Inc.Inventors: Oliver Kennedy, Tasos Anastasakos, Jianchang Mao, Erik Vee, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Jian Yang, John Tomlin
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Publication number: 20090003713Abstract: A method used in an electronic equipment (100) generates a set of joint multimodal interpretations (125) from a set of multimodal interpretations (115) generated by one or more modalities (105) during a turn, generates a set of integrated multimodal interpretations (135) including an integrated multimodal interpretation formed from each joint multimodal interpretation by unifying the type feature structure of each multimodal interpretation in the joint multimodal interpretation, and generates a multilevel confidence score for each integrated multimodal interpretation based on at least one of a context score, a content score, and a confidence score of the integrated multimodal interpretation. The method classifies the multimodal interpretations and generates a set of joint multimodal interpretations that comprises essentially all possible joint multimodal interpretations.Type: ApplicationFiled: July 31, 2008Publication date: January 1, 2009Applicant: MOTOROLA, INC.Inventors: Anurag K. Gupta, Tasos Anastasakos
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Publication number: 20080256061Abstract: A system is described for generating query suggestions by integrating valuable query suggestions with experimental query suggestions using a network of users and advertisers. The system may include a memory, an interface, and a processor. The memory may store a historical dataset, a plurality of query suggestions, a plurality of query suggestion values, a query exploit set, a query explore set, and a data describing a network. The processor may identify the plurality of query suggestions in the historical dataset and generate data describing the network based on the historical dataset. The processor may calculate the query suggestion value for each query suggestion and may rank the query suggestions based on the query suggestion values. The processor may generate an exploit set comprising the top ranked query suggestions and an explore set comprising the remainder. The processor may suggest the query suggestions in the exploit set and the explore set.Type: ApplicationFiled: July 30, 2007Publication date: October 16, 2008Applicant: Yahoo! Inc.Inventors: Chi-Chao Chang, Manish Tayal, Tasos Anastasakos