Invention Grant
- Patent Title: Contextual content graph for automatic, unsupervised summarization of content
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Application No.: US15186843Application Date: 2016-06-20
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Publication No.: US09886501B2Publication Date: 2018-02-06
- Inventor: Lakshminarayanan Krishnamurthy , Niyati Parameswaran , Sridhar Sudarsan
- 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
- Agency: Terrile, Cannatti, Chambers & Holland, LLP
- Agent Stephen A. Terrile
- Main IPC: G06F17/27
- IPC: G06F17/27 ; G06F17/30

Abstract:
A method, system and computer-usable medium are disclosed for using a contextual graph to summarize a corpus of content. Natural Language Processing (NLP) preprocessing operations are performed on text within an input corpus to form a grammatical analysis. In turn, the grammatical analysis is used to generate semantic associations between phrases in the input corpus. The resulting semantic associations are then used to determine the thematic relevance of the individual sentences in the input corpus to form a context-based ranking. In turn, the context-based ranking is used to construct a context graph, the vertices of which are represented by phrases, and the edges are represented by an aggregate score resulting from performing calculations associated with semantic similarity of the phrases. The resulting context graph is then used to generate a content summarization for the input corpus.
Public/Granted literature
- US20170364586A1 Contextual Content Graph for Automatic, Unsupervised Summarization of Content Public/Granted day:2017-12-21
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