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:
Jun. 14, 2022

Filed:

Jun. 28, 2021
Applicant:

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

Inventors:

Francesco Fusco, Zurich, CH;

Peter Willem Jan Staar, Zurich, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 30/414 (2022.01); G06F 40/166 (2020.01); G06N 3/08 (2006.01); G06F 40/279 (2020.01); G06F 40/268 (2020.01);
U.S. Cl.
CPC ...
G06V 30/414 (2022.01); G06F 40/166 (2020.01); G06F 40/268 (2020.01); G06F 40/279 (2020.01); G06N 3/08 (2013.01);
Abstract

A language model is fine-tuned by extracting terminology terms from a text document. The method comprises identifying a text snippet, identifying candidate multi-word expressions using part of speech tags, and determining a specificity score value for each of the candidate multi-word expressions. Moreover, the method comprises determining a topic similarity score value for each of the candidate multi-word expressions, selecting remaining expressions from the candidate multi-word expressions using a function of a specificity value and a topic similarity value of each of the candidate multi-word expressions, adding a noun comprised in the text snippet to the remaining expressions depending on a correlation function, labeling the remaining multi-word expressions, and fine-tuning an existing pre-trained transformer-based language model using as training data the identified text snippet marked with the labeled remaining expressions.


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