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US Patent 7203679 Determining structural similarity in semi-structured documents

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Patent Citations Received
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US Patent 12112132 Natural language processing machine learning frameworks trained using multi-task training routines
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US Patent 12106051 Unsupervised approach to assignment of pre-defined labels to text documents
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US Patent 11941357 Machine learning techniques for word-based text similarity determinations
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Patent Inventor Names
Neeraj Agrawal0
Raghuram Krishnapuram0
Sachindra Joshi0
Sumit Negi0
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Patent abstract

Documents are represented based on their structure, which arises from the relationship between various elements in the document. After representing documents based on their structure in vector form, a method of measuring similarity between vectors is used to obtain the measure of structural similarity between two given documents.

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Official Website
https://pdfpiw.uspto.gov/.piw?Docid=07203679
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US Patent 07203679 Determining structural similarity in semi-structured documents US Patent 7203679 Determining structural similarity in semi-structured documents

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Patent Number
07203679
Patent Number
7203679
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Website URL
https://pdfpiw.uspto.gov/.piw?Docid=07203679
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 US Patent 07203679 Determining structural similarity in semi-structured documents

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Is a
Patent
Patent
Patent jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent number
07203679
Date of patent
April 10, 2007
Patent application number
10629133
Date Filed
July 29, 2003
Patent primary examiner
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Tim Vo

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