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. 05, 2022

Filed:

Jul. 29, 2019
Applicant:

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

Inventors:

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

Anni R. Coden, Bronx, NY (US);

Ismini Lourentzou, Urbana, IL (US);

Daniel Gruhl, San Jose, CA (US);

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

Petar Ristoski, San Jose, CA (US);

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

Chris Kau, Mountain View, CA (US);

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

Alfredo Alba, Morgan Hill, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/242 (2020.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/242 (2020.01);
Abstract

Embodiments relate to a system, program product, and method for dictionary membership management directed at identifying ambiguity in semantic resources. A dictionary of seed terms is applied to a text corpus and matching items in the corpus are identified. The linguistic properties for each matching item are characterized and a context pattern of each matching item is constructed. Each context pattern is applied to the dictionary and matching content between the seed terms and the context pattern is identified and quantified. Lexicon items from the dictionary that have anomalous behavior reflected in the quantification are identified. One or more seed words identified as having anomalous behavior are selectively removed from the dictionary.


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