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. 11, 2021

Filed:

Apr. 30, 2019
Applicant:

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

Inventors:

Biying Kong, Yorktown Heights, NY (US);

Nidhi Rajshree, San Jose, CA (US);

Alfio Massimiliano Gliozzo, New York, NY (US);

Nicolas Rodolfo Fauceglia, Yorktown Heights, NY (US);

Robert G. Farrell, Yorktown Heights, NY (US);

Md Faisal Mahbub Chowdhury, New York, NY (US);

Anish Mathur, Yorktown Heights, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/33 (2019.01); G06F 16/31 (2019.01); G06F 16/36 (2019.01); G06F 40/289 (2020.01);
U.S. Cl.
CPC ...
G06F 16/3344 (2019.01); G06F 16/328 (2019.01); G06F 16/36 (2019.01); G06F 40/289 (2020.01);
Abstract

A query-focused faceted structure generation method, system, and computer program product for generating a query-focused faceted structure from a taxonomy for searching a document corpus, including augmenting taxonomy types with new instances where the instances comprise entities within a proximity of existing instances of taxonomy types in a local embedding of entities parsed from the document corpus, ranking each instance in the augmented taxonomy with respect to its type as a function of both a distance from an instance to a query in a global embedding vector space of the entities trained from the document corpus and a distance of an instance to a type in the local embedding, and ranking the taxonomy types using expanded instances in the document corpus for each type.


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