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:
Oct. 08, 2019

Filed:

Dec. 17, 2014
Applicant:

National Institute of Information and Communications Technology, Tokyo, JP;

Inventors:

Chikara Hashimoto, Tokyo, JP;

Kentaro Torisawa, Tokyo, JP;

Motoki Sano, Tokyo, JP;

Yulan Yan, Tokyo, JP;

Yutaka Kidawara, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G09B 17/00 (2006.01); G06F 16/332 (2019.01); G06F 16/23 (2019.01); G06F 16/33 (2019.01); G06Q 50/00 (2012.01); G06F 17/27 (2006.01); G06N 5/02 (2006.01);
U.S. Cl.
CPC ...
G06F 16/3329 (2019.01); G06F 16/2365 (2019.01); G06F 16/3344 (2019.01); G06F 17/2785 (2013.01); G06N 5/02 (2013.01); G06Q 50/01 (2013.01);
Abstract

[Object] An object of the present invention is to provide a system for collecting elements as a basis for generating a social scenario useful for people to make well-balanced good decision. [Solution] A scenario generating apparatus includes: a causality phrase pair DBstoring causality phrase pairs; synonimity generatorsand, searching, for each of the causality phrase pairs, causality phrase pairs having a cause phrase with causal consistency with the result phrase of the causality phrase pair, and generating join information for joining causality phrase pairs; join relation DBstoring the join information; and a causality joining unitjoining, to a result phrase of a causality phrase pair, a causality phrase pair having a cause phrase with causal consistency with the phrase by using the join information, and thereby linking causality. A join relation generatorthat finds a hidden relation between phrases and linking causality phrase pairs may be provided.


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