The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 13, 2021

Filed:

Dec. 11, 2018
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Mahek Shah, Pune, IN;

Rajiv Srivastava, Pune, IN;

Girish Keshav Palsikhar, Pune, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/35 (2019.01); G06F 40/30 (2020.01); G06F 40/137 (2020.01); G06F 40/149 (2020.01); G06F 40/169 (2020.01); G06F 40/258 (2020.01); G06F 40/295 (2020.01); G06F 16/31 (2019.01);
U.S. Cl.
CPC ...
G06F 16/35 (2019.01); G06F 16/313 (2019.01); G06F 40/137 (2020.01); G06F 40/149 (2020.01); G06F 40/169 (2020.01); G06F 40/258 (2020.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01);
Abstract

Embodiments of the present disclosure, implements method of extracting relevant sections from a plurality of documents by (a) receiving an input document from a user; (b) converting, the input document to a standard text file; (c) classifying, the standard text file to obtain a labelled text file associated with at least one cluster from a plurality of clusters; (d) extracting, from the labelled text file to obtain a plurality of relevant entities associated with at least one cluster in the plurality of clusters; (e) annotating, the standard text file by the extracted plurality of relevant entities to obtain an annotated enriched text file; (f) identifying, a plurality of section boundaries to obtain a sectioned data; and (g) extracting, relevant sections of the plurality of documents based on the plurality of relationship associated with the set of relevant entities.


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