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. 17, 2022

Filed:

Sep. 23, 2019
Applicant:

Hong Kong Applied Science and Technology Research Institute Company Limited, Hong Kong, HK;

Inventors:

Yu Keung Ng, Hong Kong, HK;

Yang Liu, Hong Kong, HK;

Chao Feng, Shenzhen, CN;

Yi Ping Tse, Hong Kong, HK;

Zuyao Wang, Hong Kong, HK;

Zhi Bin Lei, Hong Kong, HK;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/33 (2019.01); G06F 16/34 (2019.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/3347 (2019.01); G06F 16/345 (2019.01);
Abstract

A method for summarizing text with sentence extraction including steps as follows. Sentences are extracted from a document including text by a natural language processing (NLP) based feature extractor. A word vector set with respect to each of the sentences is generated by a processor. The word vector set with respect to each of the sentences is used to generate a n-grams vector set and a phrase-n vector set with respect to each of the sentences. A word score representing similarity between the word vector sets, a n-grams score representing similarity between the n-grams vector sets, and a phrase-n score representing similarity between the phrase-n vector sets are computed. The word, n-grams, and phrase-n scores are combined to compute an edge score. Text features are selected from the sentences using the edge scores of the sentences, so as to output a summary of the document.


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