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:
Jul. 02, 2019

Filed:

Aug. 23, 2017
Applicant:

Sap SE, Walldorf, DE;

Inventors:

Jayananda Appanna Kotri, Bangalore, IN;

Tarun Sharma, Bangalore, IN;

Sharad Kejriwal, Bhagalpur, IN;

Yashwanth Dasari, Vijayawada, IN;

Abinaya S, Tirupur, IN;

Assignee:

SAP SE, Walldorf, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/16 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G10L 15/30 (2013.01); G10L 15/04 (2013.01);
U.S. Cl.
CPC ...
G10L 15/16 (2013.01); G06N 3/0445 (2013.01); G06N 3/08 (2013.01); G10L 15/04 (2013.01); G10L 15/30 (2013.01);
Abstract

A recurrent neural network (RNN) is trained to identify split positions in long content, wherein each split position is a position at which the theme of the long content changes. Each sentence in the long content is converted to a vector that corresponds to the meaning of the sentence. The sentence vectors are used as inputs to the RNN. The high-probability split points determined by the RNN may be combined with contextual cues to determine the actual split point to use. The split points are used to generate thematic segments of the long content. The multiple thematic segments may be presented to a user along with a topic label for each thematic segment. Each topic label may be generated based on the words contained in the corresponding thematic segment.


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