Invention Grant
- Patent Title: Information relation generation
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Application No.: US13214291Application Date: 2011-08-22
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Publication No.: US10198431B2Publication Date: 2019-02-05
- Inventor: Swapna Somasundaran , Dingcheng Li , Amit Chakraborty
- Applicant: Swapna Somasundaran , Dingcheng Li , Amit Chakraborty
- Applicant Address: US NJ Iselin
- Assignee: SIEMENS CORPORATION
- Current Assignee: SIEMENS CORPORATION
- Current Assignee Address: US NJ Iselin
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F17/27

Abstract:
For generating a word space, manual thresholding of word scores is used. Rather than requiring the user to select the threshold arbitrarily or review each word, the user is iteratively requested to indicate the relevance of a given word. Words with greater or lesser scores are labeled in the same way depending upon the response. For determining the relationship between named entities, Latent Dirichlet Allocation (LDA) is performed on text associated with the name entities rather than on an entire document. LDA for relationship mining may include context information and/or supervised learning.
Public/Granted literature
- US20120078918A1 Information Relation Generation Public/Granted day:2012-03-29
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