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US Patent 10353905 Identifying entities in semi-structured content

Patent 10353905 was granted and assigned to Salesforce.com, Inc. on July, 2019 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
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Patent attributes

Patent Applicant
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1
Current Assignee
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1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103539051
Patent Inventor Names
Hawro Mustafa1
Govardana Sachithanandam Ramachandran1
Date of Patent
July 16, 2019
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Patent Application Number
146959961
Date Filed
April 24, 2015
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Patent Citations Received
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US Patent 11922303 Systems and methods for distilled BERT-based training model for text classification
2
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US Patent 11658965 Adaptive artificial intelligence systems and methods for token verification
3
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US Patent 11436481 Systems and methods for named entity recognition
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US Patent 11863551 Adaptive artificial intelligence systems and methods for token verification
5
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US Patent 11893033 Automated analysis of unstructured computer text for generation of an enforcement action database using machine learning
6
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US Patent 11481636 Systems and methods for out-of-distribution classification
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US Patent 11537899 Systems and methods for out-of-distribution classification
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US Patent 11544465 Using unstructured input to update heterogeneous data stores
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Patent Primary Examiner
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Cam Y T. Truong
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Patent abstract

Identifying entities in semi-structured content is described. A system assigns a corresponding entity type based on a corresponding entity type score for each token in a sequence of tokens in semi-structured content, based on multiple entity types, wherein each token is a corresponding character set. The system assigns a corresponding boundary type based on a corresponding boundary type score for each token in the sequence of tokens, based on a begin boundary type or a continue boundary type. The system identifies an entity based on a corresponding entity type score and a corresponding boundary type for each token in the sequence of tokens. The system outputs the sequence of tokens as an identified set of entities based on the identified entity.

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