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:
May. 30, 2023

Filed:

Jul. 21, 2020
Applicant:

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

Inventors:

Chao-Min Chang, Taipei, TW;

Kuei-Ching Lee, New Taipei, TW;

Ci-Hao Wu, Taipei, TW;

Chia-Heng Lin, Taipei, TW;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/242 (2020.01); G06F 40/295 (2020.01); G06F 40/58 (2020.01);
U.S. Cl.
CPC ...
G06F 40/242 (2020.01); G06F 40/295 (2020.01); G06F 40/58 (2020.01);
Abstract

An approach for a fast and accurate word embedding model, 'desc2vec,' for out-of-dictionary (OOD) words with a model learning from the dictionary descriptions of the word is disclosed. The approach includes determining that a target text element is not in a set of reference text elements, information describing the target text element is obtained. The information comprises a set of descriptive text elements. A set of vectorized representations for the set of descriptive text elements is determined. A target vectorized representation for the target text element is determined based on the set of vectorized representations using a machine learning model. The machine learning model is trained to represent a predetermined association between the set of vectorized representations for the set of descriptive text elements describing the target text element and the target vectorized representation.


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