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. 22, 2018

Filed:

Oct. 12, 2012
Applicant:

Hewlett-packard Development Company, L.p., Houston, TX (US);

Inventors:

Steven J Simske, Fort Collins, CO (US);

Malgorzata M Sturgill, Fort Collins, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06F 17/27 (2006.01);
U.S. Cl.
CPC ...
G06F 17/30719 (2013.01); G06F 17/279 (2013.01); G06F 17/30011 (2013.01); G06F 17/30616 (2013.01); G06F 17/30648 (2013.01); G06F 17/30654 (2013.01); G06F 17/30663 (2013.01);
Abstract

A combinatorial summarizer includes a plurality of summarization engines, a processor in selective communication with each summarization engine, and computer readable instructions executable by the processor and embodied on a tangible, non-transitory computer readable medium. Each summarization engine is to select a respective plurality of sentences, and generate a relative rank and an associated weight for each sentence of the respective plurality of sentences. The computer readable instructions include instructions to determine a combined weight for each sentence of each respective plurality of sentences. The combined weight is based upon the respective associated weight and a respective relative human rank for each sentence in a set of sentences, including all sentences of each respective plurality of sentences. The computer readable instructions further include instructions to determine a total weight for each summarization engine based, respectively, upon the combined weights for each sentence of each respective plurality of sentences.


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