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. 09, 2022

Filed:

Nov. 04, 2020
Applicant:

Casetext, Inc., San Francisco, CA (US);

Inventors:

Javed Qadrud-Din, Foster City, CA (US);

Ryan Walker, Lancaster, PA (US);

Ravi Soni, San Mateo, CA (US);

Marcin Gajek, Berkeley, CA (US);

Gabriel Pack, Napa, CA (US);

Akhil Rangaraj, San Francisco, CA (US);

Assignee:

Casetext, Inc., San Francisco, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 16/2457 (2019.01); G06N 20/00 (2019.01); G06F 40/126 (2020.01); G06F 40/279 (2020.01); G06F 16/242 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 16/243 (2019.01); G06F 40/126 (2020.01); G06F 40/279 (2020.01); G06N 20/00 (2019.01);
Abstract

A web-based tool performs records matching in response to a freeform text input, to find highly contextually-related sentences in a corpus of records. Each sentence in the corpus is converted into a full-size vector representation, and each vector's angle within space is measured. Each full-size vector is compressed to a smaller vector and a loss function is used to preserve for each vector the angle within the lower-dimensional space that existed for the higher-dimensional vector. Full-size and reduced vector representations are generated from the freeform text input. The reduced-size vector of the input is compared to those of the corpus of text to identify, in real-time, a set of vector nearest neighbors that includes, with high accuracy, representations of all records in the corpus similar to the input. Full-size vectors for the nearest neighbors are in turn retrieved and compared to the input, and ranked results are generated.


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