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:
Aug. 09, 2022

Filed:

Jun. 11, 2019
Applicant:

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

Inventors:

Giacomo Domeniconi, Yorktown Heights, NY (US);

Eun Kyung Lee, Yorktown Heights, NY (US);

Alessandro Morari, Yorktown Heights, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/2458 (2019.01); G06F 17/18 (2006.01); G06N 3/04 (2006.01); G06F 40/205 (2020.01); G06F 40/284 (2020.01);
U.S. Cl.
CPC ...
G06F 16/2465 (2019.01); G06F 17/18 (2013.01); G06F 40/205 (2020.01); G06F 40/284 (2020.01); G06N 3/04 (2013.01);
Abstract

A method for context-aware data mining of a text document includes receiving a list of words parsed and preprocessed from an input query; computing a related distributed embedding representation for each word in the list of words using a word embedding model of the text document being queried; aggregating the related distributed embedding representations of all words in the list of words to represent the input query with a single embedding, by using one of an average of all the related distributed embedding representations or a maximum of all the related distributed embedding representations; retrieving a ranked list of document segments of N lines that are similar to the aggregated word embedding representation of the query, where N is a positive integer provided by the user; and returning the list of retrieved segments to a user.


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