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:
Aug. 16, 2022

Filed:

Apr. 23, 2021
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Daniel Gruhl, San Jose, CA (US);

Anna Lisa Gentile, San Jose, CA (US);

Petar Ristoski, San Jose, CA (US);

Linda Ha Kato, San Jose, CA (US);

Chad Eric DeLuca, Morgan Hill, CA (US);

Steven R. Welch, Gilroy, CA (US);

Alfredo Alba, Morgan Hill, CA (US);

Ismini Lourentzou, San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/93 (2019.01); G06F 40/284 (2020.01); G06F 16/2457 (2019.01);
U.S. Cl.
CPC ...
G06F 16/93 (2019.01); G06F 16/24578 (2019.01); G06F 40/284 (2020.01);
Abstract

In an approach to corpus expansion using lexical signatures, one or more computer processors retrieve a donor corpus of text, wherein the donor corpus includes a plurality of documents. One or more computer processors generate a document signature for each of the plurality of documents in the donor corpus. One or more computer processors retrieve a target corpus of text for expansion. One or more computer processors generate a corpus signature for the target corpus. One or more computer processors compare each document signature to the corpus signature. Based on the comparison, one or more computer processors determine a similarity score for each document signature. One or more computer processors rank the plurality of documents by the similarity score. One or more computer processors add one or more top-ranked documents of the plurality of documents to the target corpus.


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