Invention Grant
- Patent Title: Targeted story summarization using natural language processing
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Application No.: US14957655Application Date: 2015-12-03
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Publication No.: US10013404B2Publication Date: 2018-07-03
- Inventor: Adam T. Clark , Jeffrey K. Huebert , Aspen L. Payton , John E. Petri
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Robert J. Shatto
- Main IPC: G06F17/22
- IPC: G06F17/22 ; G06F17/27

Abstract:
A computer system may receive a textual work. The computer system may generate a knowledge graph based on the textual work. The knowledge graph may include nodes representing concepts and edges between the nodes that represent links between the concepts. The computer system may then generate a concept path for a target concept. The computer system may then identify a related background narrative block that contains a related non-target concept. The background narrative block may be a narrative block that is not in the concept path for the target concept. The computer system may then summarize the related background narrative block and output the summary to an output device coupled with the computer system.
Public/Granted literature
- US20170161242A1 TARGETED STORY SUMMARIZATION USING NATURAL LANGUAGE PROCESSING Public/Granted day:2017-06-08
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