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:
Oct. 04, 2022

Filed:

Jul. 10, 2019
Applicant:

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

Inventors:

Zhe Liu, San Jose, CA (US);

Peifeng Yin, San Jose, CA (US);

Jalal Mahmud, San Jose, CA (US);

Rama Kalyani T. Akkiraju, Cupertino, CA (US);

Yufan Guo, San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/33 (2019.01); G06F 16/332 (2019.01); G06N 5/02 (2006.01); G06F 16/31 (2019.01);
U.S. Cl.
CPC ...
G06F 16/3344 (2019.01); G06F 16/316 (2019.01); G06F 16/3329 (2019.01); G06F 16/3334 (2019.01); G06N 5/022 (2013.01);
Abstract

Embodiments provide a computer implemented method of evaluating one or more IR systems, the method including: providing, by a processor, a pre-indexed knowledge-based document to a pre-trained sentence identification model; identifying, by the sentence identification model, a predetermined number of query-worthy sentences from the pre-indexed knowledge-based document, wherein the query-worthy sentences are ranked based on a prediction probability value of each query-worthy sentence; providing, by the sentence identification model, the query-worthy sentences to a pre-trained query generation model; generating, by the query generation model, a query for each query-worthy sentence; and evaluating, by the processor, the one or more IR systems using the generated queries, wherein one or more searches are performed via the one or more IR systems, and the one or more searches are performed in a set of knowledge-based documents including the pre-indexed knowledge-based document.


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