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US Patent 10242320 Machine assisted learning of entities

Patent 10242320 was granted and assigned to Maana on March, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
Maana
Maana
Current Assignee
Maana
Maana
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10242320
Date of Patent
March 26, 2019
Patent Application Number
15957838
Date Filed
April 19, 2018
Patent Citations Received
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US Patent 12086548 Event extraction from documents with co-reference
0
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US Patent 11250211 Generating a version associated with a section in a document
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US Patent 11599580 Method and system to extract domain concepts to create domain dictionaries and ontologies
‌
US Patent 11887168 Predicting the value of an asset using machine-learning techniques
0
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US Patent 11232785 Speech recognition of named entities with word embeddings to display relationship information
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US Patent 11520986 Neural-based ontology generation and refinement
Patent Primary Examiner
‌
Paulinho E Smith
Patent abstract

A data model is traversed to determine concept characteristics associated with concepts that may be associated with entities. Associated documents may be evaluated to identify document characteristics associated with the entities. Entity models may be trained based on the concept characteristics and the document characteristics with each entity model being associated with a confidence value. Results for one or more queries based on the documents and the entity models may be provided. The results may reference the documents that may be associated with the entities. Some entity models may produce results that have a confidence value below a threshold value. Accordingly, the entity models that provide low confidence results may be re-trained.

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