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:
Sep. 28, 2021

Filed:

Sep. 29, 2017
Applicant:

The Mitre Corporation, McLean, VA (US);

Inventors:

Ransom K. Winder, McLean, VA (US);

Joseph P. Jubinski, Sykesville, MD (US);

Christopher Giannella, Baltimore, MD (US);

Assignee:

The MITRE Corporation, McLean, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/279 (2020.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01); G06K 9/00 (2006.01); G06N 5/02 (2006.01); G06F 40/42 (2020.01); G06F 40/295 (2020.01); G06N 7/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00442 (2013.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G06F 40/42 (2020.01); G06N 5/022 (2013.01); G06N 20/00 (2019.01); G06N 7/005 (2013.01);
Abstract

A system and method for generating event timelines by analyzing natural language texts from a textual dataset is provided. In one or more examples, the systems and methods can ingest a textual dataset and generate a visual timeline that illustrates the sequence of events contained within the textual dataset and approximately when in time each event in the textual dataset occurred. In one or more examples, machine learning classifiers can be employed to automatically extract event trigger words and time mentions in the textual dataset and anchor the extracted event trigger words to points in time expressed on the timeline. Machine learning classifiers can be employed to extract event trigger words from the textual dataset, relate the extracted event trigger words to one or more time mentions in the textual dataset, and to relate the extracted event trigger words to one or more document creation times found within the textual dataset.


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