Patents by Inventor Esteban Alberto Alvarado Solano
Esteban Alberto Alvarado Solano 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: 20240143334Abstract: Embodiments of a system and a method for classifying blocks of text at varying, possibly simultaneous, and possibly interacting levels of scope (e.g., sentence, paragraph, section, document) are disclosed. A system includes a processor coupled to: a data reader to receive an input comprising of a data stream, and convert the data stream into one or more logical data blocks of varying scopes. The system includes a dependency tree generator to create a dependency tree to define the scope and dependencies of each of a plurality of natural language processors (NL Processors) with respect to each other such that the dependency tree identifies when an input of a NL Processor (depender) depends on an output of another NL Processor (dependee). Each NL Processor is configured based on a type of at least one logical data block of the one or more logical blocks to which it applies.Type: ApplicationFiled: October 31, 2022Publication date: May 2, 2024Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Esteban Alberto ALVARADO SOLANO, Paul Edward NELSON, Mark David STANGER
-
Patent number: 11281864Abstract: Examples of automatically generating natural language pipelines to process an input to generate tags, semantic or syntactic, are described. In an example, on receiving a request to process input data to generate tags, a dependency graph, based on identified dependees and further dependees may be created to satisfy the request, the dependency graph including natural language operations arranged in order of their dependencies on each other. Based on the dependency graph, a pipeline for the tags may be automatically generated, which includes a series of natural language operations such that the operations for dependee tags are processed before any of their associated depender tags.Type: GrantFiled: July 24, 2020Date of Patent: March 22, 2022Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Paul Edward Nelson, Esteban Alberto Alvarado Solano, Rafael Guillermo Alfaro Flores
-
Patent number: 11113470Abstract: Examples for efficiently representing, processing and deciding amongst multiple ambiguous interpretations of human natural language text are described. Processing includes creating and augmenting an “interpretation graph” which represents all known ambiguous interpretations of some natural language text. The interpretation graph is made of vertices (junction points which lead to alternative interpretations) and ‘lexical items’ (natural language objects representing data blocks, tokens, word parts, phrases, clauses, parts of speech, entities, or semantic interpretations) that represent alternative ambiguous interpretations of portions of the text. The examples show a set of simple operations for augmenting the interpretation graph to create alternative interpretations.Type: GrantFiled: November 25, 2019Date of Patent: September 7, 2021Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Paul Edward Nelson, Mark Richard David, Esteban Alberto Alvarado Solano
-
Publication number: 20200356726Abstract: Examples of automatically generating natural language pipelines to process an input to generate tags, semantic or syntactic, are described. In an example, on receiving a request to process input data to generate tags, a dependency graph, based on identified dependees and further dependees may be created to satisfy the request, the dependency graph including natural language operations arranged in order of their dependencies on each other. Based on the dependency graph, a pipeline for the tags may be automatically generated, which includes a series of natural language operations such that the operations for dependee tags are processed before any of their associated depender tags.Type: ApplicationFiled: July 24, 2020Publication date: November 12, 2020Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Paul Edward NELSON, Esteban Alberto ALVARADO SOLANO, Rafael Guillermo ALFARO FLORES
-
Patent number: 10747958Abstract: Examples of automatically generating natural language pipelines to process an input to generate tags, semantic or syntactic, are described. In an example, on receiving a request to process input data to generate tags, a dependency graph, based on identified dependees and further dependees may be created to satisfy the request, the dependency graph including natural language operations arranged in order of their dependencies on each other. Based on the dependency graph, a pipeline for the tags may be automatically generated, which includes a series of natural language operations such that the operations for dependee tags are processed before any of their associated depender tags.Type: GrantFiled: December 19, 2018Date of Patent: August 18, 2020Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Paul Edward Nelson, Esteban Alberto Alvarado Solano, Rafael Guillermo Alfaro Flores
-
Publication number: 20200201940Abstract: Examples of automatically generating natural language pipelines to process an input to generate tags, semantic or syntactic, are described. In an example, on receiving a request to process input data to generate tags, a dependency graph, based on identified dependees and further dependees may be created to satisfy the request, the dependency graph including natural language operations arranged in order of their dependencies on each other. Based on the dependency graph, a pipeline for the tags may be automatically generated, which includes a series of natural language operations such that the operations for dependee tags are processed before any of their associated depender tags.Type: ApplicationFiled: December 19, 2018Publication date: June 25, 2020Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Paul Edward NELSON, Esteban Alberto ALVARADO SOLANO, Rafael Guillermo ALFARO FLORES
-
Publication number: 20200089756Abstract: Examples for efficiently representing, processing and deciding amongst multiple ambiguous interpretations of human natural language text are described. Processing includes creating and augmenting an “interpretation graph” which represents all known ambiguous interpretations of some natural language text. The interpretation graph is made of vertices (junction points which lead to alternative interpretations) and ‘lexical items’ (natural language objects representing data blocks, tokens, word parts, phrases, clauses, parts of speech, entities, or semantic interpretations) that represent alternative ambiguous interpretations of portions of the text. The examples show a set of simple operations for augmenting the interpretation graph to create alternative interpretations.Type: ApplicationFiled: November 25, 2019Publication date: March 19, 2020Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Paul Edward NELSON, Mark Richard DAVID, Esteban Alberto ALVARADO SOLANO
-
Patent number: 10528664Abstract: Examples for efficiently representing, processing and deciding amongst multiple ambiguous interpretations of human natural language text are described. Processing includes creating and augmenting an “interpretation graph” which represents all known ambiguous interpretations of some natural language text. The interpretation graph is made of vertices (junction points which lead to alternative interpretations) and ‘lexical items’ (natural language objects representing data blocks, tokens, word parts, phrases, clauses, parts of speech, entities, or semantic interpretations) that represent alternative ambiguous interpretations of portions of the text. The examples show a set of simple operations for augmenting the interpretation graph to create alternative interpretations.Type: GrantFiled: November 7, 2018Date of Patent: January 7, 2020Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Paul Edward Nelson, Mark Richard David, Esteban Alberto Alvarado Solano
-
Publication number: 20190147038Abstract: Examples for efficiently representing, processing and deciding amongst multiple ambiguous interpretations of human natural language text are described. Processing includes creating and augmenting an “interpretation graph” which represents all known ambiguous interpretations of some natural language text. The interpretation graph is made of vertices (junction points which lead to alternative interpretations) and ‘lexical items’ (natural language objects representing data blocks, tokens, word parts, phrases, clauses, parts of speech, entities, or semantic interpretations) that represent alternative ambiguous interpretations of portions of the text. The examples show a set of simple operations for augmenting the interpretation graph to create alternative interpretations.Type: ApplicationFiled: November 7, 2018Publication date: May 16, 2019Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Paul Edward NELSON, Mark Richard David, Esteban Alberto Alvarado Solano