Invention Grant
- Patent Title: Extracting veiled meaning in natural language content
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Application No.: US15694037Application Date: 2017-09-01
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Publication No.: US10176166B2Publication Date: 2019-01-08
- Inventor: Donna K. Byron , Benjamin L. Johnson , Lakshminarayanan Krishnamurthy , Krishna Kummamuru , Timothy P. Winkler
- 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 Stephen J. Walder, Jr.; Diana R. Gerhardt
- Main IPC: G06F17/28
- IPC: G06F17/28 ; G06F17/27 ; G06F17/30

Abstract:
Mechanisms for identifying hidden meaning in a portion of natural language content are provided. A primary portion of natural language content is received and a secondary portion of natural language content is identified that references the natural language content. The secondary portion of natural language content is analyzed to identify indications of meaning directed to elements of the primary portion of natural language content. A probabilistic model is generated based on the secondary portion of natural language content modeling a probability of hidden meaning in the primary portion of natural language content. A hidden meaning statement data structure is generated for the primary portion of natural language content based on the probabilistic model.
Public/Granted literature
- US20170364507A1 Extracting Veiled Meaning in Natural Language Content Public/Granted day:2017-12-21
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