Patents by Inventor Divya Mahalingam
Divya Mahalingam 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: 11663229Abstract: Various systems and methods are provided for accessing and traversing one or more data structures and generating a functional user interface that can enable non-technical users to quickly and dynamically search for resources of an organization and/or associated documents, events, entities, and/or other data. The user interfaces are interactive such that a user may make selections, provide inputs, and/or manipulate outputs. In response to various user inputs, the system automatically accesses and traverses data structures relating to resources, documents, events, entities, and other data, identifies resources, documents, events, entities, and/or other data that meet search criteria, and returns search results including resources that meet the search criteria and/or resources that are associated with documents, events, entities, and/or other data that meet the search criteria.Type: GrantFiled: August 27, 2020Date of Patent: May 30, 2023Assignee: Palanti Technologies Inc.Inventors: Mitchell Beard, Juan Ricafort, Kevin Verdieck, Divya Mahalingam, Jack Grossman
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Publication number: 20210004368Abstract: Various systems and methods are provided for accessing and traversing one or more data structures and generating a functional user interface that can enable non-technical users to quickly and dynamically search for resources of an organization and/or associated documents, events, entities, and/or other data. The user interfaces are interactive such that a user may make selections, provide inputs, and/or manipulate outputs. In response to various user inputs, the system automatically accesses and traverses data structures relating to resources, documents, events, entities, and other data, identifies resources, documents, events, entities, and/or other data that meet search criteria, and returns search results including resources that meet the search criteria and/or resources that are associated with documents, events, entities, and/or other data that meet the search criteria.Type: ApplicationFiled: August 27, 2020Publication date: January 7, 2021Inventors: Mitchell Beard, Juan Ricafort, Kevin Verdieck, Divya Mahalingam, Jack Grossman
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Patent number: 10789263Abstract: Various systems and methods are provided for accessing and traversing one or more data structures and generating a functional user interface that can enable non-technical users to quickly and dynamically search for resources of an organization and/or associated documents, events, entities, and/or other data. The user interfaces are interactive such that a user may make selections, provide inputs, and/or manipulate outputs. In response to various user inputs, the system automatically accesses and traverses data structures relating to resources, documents, events, entities, and other data, identifies resources, documents, events, entities, and/or other data that meet search criteria, and returns search results including resources that meet the search criteria and/or resources that are associated with documents, events, entities, and/or other data that meet the search criteria.Type: GrantFiled: September 18, 2017Date of Patent: September 29, 2020Assignee: Palantir Technologies Inc.Inventors: Mitchell Beard, Juan Ricafort, Kevin Verdieck, Divya Mahalingam, Jack Grossman
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Patent number: 10380708Abstract: Techniques are described for determining whether a submitted work, such as a manuscript submitted for publication as an electronic book, is consistent with other published works associated with a fictional world, universe, or other framework. A set of constraints may be determined based on a semantic analysis of the published works of a framework, the constraint(s) describing attributes of noun objects or relationships between noun objects in the published work(s). Statements may be determined by applying the semantic analysis to the submitted work. Inconsistencies between the statements and the constraints may be identified and communicated to reviewers, for use in determining whether to publish the work. Comparison of the statements to the constraints may be made through reference to other statements included in a knowledge base of information regarding the framework.Type: GrantFiled: September 10, 2014Date of Patent: August 13, 2019Assignee: AMAZON TECHNOLOGIES, INC.Inventors: Oliver Nam Wong, Divya Mahalingam, William Tunstall-Pedoe, Jennifer Amy Sadler
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Publication number: 20180004825Abstract: Various systems and methods are provided for accessing and traversing one or more data structures and generating a functional user interface that can enable non-technical users to quickly and dynamically search for resources of an organization and/or associated documents, events, entities, and/or other data. The user interfaces are interactive such that a user may make selections, provide inputs, and/or manipulate outputs. In response to various user inputs, the system automatically accesses and traverses data structures relating to resources, documents, events, entities, and other data, identifies resources, documents, events, entities, and/or other data that meet search criteria, and returns search results including resources that meet the search criteria and/or resources that are associated with documents, events, entities, and/or other data that meet the search criteria.Type: ApplicationFiled: September 18, 2017Publication date: January 4, 2018Inventors: Mitchell Beard, Juan Ricafort, Kevin Verdieck, Divya Mahalingam, Jack Grossman
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Patent number: 9842103Abstract: A system and method for determining whether a textual work submitted for publishing is machine generated or non-machine generated by identifying and quantifying various aspects of the textual work and comparing those aspects to known works. For example, the system and method may identify aspects of a textual work, including, a relationship between the sentences within the textual work, a writing style of the author of the textual work, a grammatical structure of the sentences within the textual work, a quality of the textual work, and other aspects of the textual work. Upon determining that the textual work is machine generated the textual work may be rejected for publishing.Type: GrantFiled: April 11, 2016Date of Patent: December 12, 2017Assignee: Amazon Technologies, Inc.Inventors: Mitsuo Takaki, Divya Mahalingam, David Gordon Leatham, David Rezazadeh Azari
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Patent number: 9798787Abstract: Various systems and methods are provided for accessing and traversing one or more data structures and generating a functional user interface that can enable non-technical users to quickly and dynamically search for resources of an organization and/or associated documents, events, entities, and/or other data. The user interfaces are interactive such that a user may make selections, provide inputs, and/or manipulate outputs. In response to various user inputs, the system automatically accesses and traverses data structures relating to resources, documents, events, entities, and other data, identifies resources, documents, events, entities, and/or other data that meet search criteria, and returns search results including resources that meet the search criteria and/or resources that are associated with documents, events, entities, and/or other data that meet the search criteria.Type: GrantFiled: July 12, 2016Date of Patent: October 24, 2017Assignee: PALANTIR TECHNOLOGIES INC.Inventors: Mitchell Beard, Juan Ricafort, Kevin Verdieck, Divya Mahalingam, Jack Grossman
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Patent number: 9715497Abstract: Techniques are described for analyzing a submitted manuscript through the use of an entity/action relationship matrix determined for the manuscript. The entity/action relationship matrix may describe one or more entities, such as characters, locations, objects and so forth, which are identified in the manuscript using a natural language analysis such as a part-of-speech analysis. The entity/action relationship matrix may also describe actions or events associated with each of the entities, as determined using the natural language analysis. The entity/action relationship matrix may be employed to determine whether the manuscript complies with rules constraining the use of entities in the manuscript.Type: GrantFiled: November 26, 2013Date of Patent: July 25, 2017Assignee: Amazon Technologies, Inc.Inventors: Tanvi Milind Bhadbhade, Divya Mahalingam
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Patent number: 9372850Abstract: A system and method for determining whether a textual work submitted for publishing is machine generated or non-machine generated by identifying and quantifying various aspects of the textual work and comparing those aspects to known works. For example, the system and method may identify aspects of a textual work, including, a relationship between the sentences within the textual work, a writing style of the author of the textual work, a grammatical structure of the sentences within the textual work, a quality of the textual work, and other aspects of the textual work. Upon determining that the textual work is machine generated the textual work may be rejected for publishing.Type: GrantFiled: December 19, 2012Date of Patent: June 21, 2016Assignee: Amazon Technologies, Inc.Inventors: Mitsuo Takaki, Divya Mahalingam, David Gordon Leatham, David Rezazadeh Azari
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Patent number: 9201954Abstract: One or more computing systems can implement a classifier to classify content publishers as being likely to provide appropriate content or as being likely to provide inappropriate content. The classifier can gather information from previously classified publishers. The information from the previously classified publishers can used to train the classifier. Based on the training, the classifier can learn about traits, characteristics, and/or behavioral patterns, etc., associated with publishers that have been previously classified as being good as well as publishers previously classified as being bad. The classifier can then process information about an unclassified publisher to determine a classification for the unclassified publisher, as being good (and likely to provide appropriate content) or bad (and likely to provide inappropriate content).Type: GrantFiled: March 1, 2013Date of Patent: December 1, 2015Assignee: Amazon Technologies, Inc.Inventors: David Rezazadeh Azari, Divya Mahalingam, Tanvi Milind Bhadbhade, Nadia Payet