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:
Nov. 29, 2022

Filed:

Jan. 07, 2019
Applicant:

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

Inventors:

Ke Wang, Beijing, CN;

Pei Ni Liu, Beijing, CN;

Wen Sun, Beijing, CN;

Jing Min Xu, Beijing, CN;

Songfang Huang, Beijing, CN;

Yong Qin, Beijing, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G16H 20/00 (2018.01); G16H 50/20 (2018.01); G06F 16/31 (2019.01); G06N 3/04 (2006.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
G06F 16/313 (2019.01); G06K 9/6228 (2013.01); G06N 3/04 (2013.01); G16H 20/00 (2018.01); G16H 50/20 (2018.01);
Abstract

Methods and systems for processing records include extracting feature vectors from words in an unstructured portion of a record. The feature vectors are weighted based similarity to a topic vector from a structured portion of the record associated with the unstructured portion. The weighted feature vectors are classified using a machine learning model to determine respective probability vectors that assign a probability to each of a set of possible relations for each feature vector. Relations between entities are determined within the record based on the probability vectors. An action is performed responsive to the determined relations.


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