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US Patent 11854531 Cross-class ontology integration for language modeling

Patent 11854531 was granted and assigned to Sorcero on December, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Sorcero
Sorcero
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Current Assignee
Sorcero
Sorcero
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118545310
Patent Inventor Names
Martin Abente Lahaye0
Walter Bender0
Christopher Liu0
Date of Patent
December 26, 2023
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Patent Application Number
172103150
Date Filed
March 23, 2021
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Patent Citations
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US Patent 9842102 Automatic ontology generation for natural-language processing applications
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US Patent 10169454 Unsupervised ontology-based graph extraction from texts
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US Patent 10402435 Utilizing semantic hierarchies to process free-form text
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US Patent 10558759 Consumer insights analysis using word embeddings
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US Patent 10621166 Interactive dialog in natural language using an ontology
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US Patent 10699062 Apparatus and method for providing summarized information using an artificial intelligence model
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US Patent 10929452 Multi-document summary generation method and apparatus, and terminal
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US Patent 11170158 Abstractive summarization of long documents using deep learning
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...
Patent Primary Examiner
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Satwant K Singh
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Patent abstract

Provided is a method including obtaining a set of ontologies mapping n-grams onto concepts to which the n-grams refer in different respective domains of knowledge. The method includes receiving an update associating a first n-gram with a first concept and receiving information by which the update is associated with a given domain of knowledge. The method includes selecting a subset of ontologies by determining that the update in the given domain of knowledge is applicable to respective domains of knowledge of the subset of ontologies and that the first concept has a specified type of relationship to a subset of concepts to which other n-grams are mapped in the subset of ontologies. The method also includes storing, in response to the determination, associations between the first n-gram and the subset of concepts in at least some of the subset of ontologies in memory of the computer system.

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