Title:
ELECTRONIC MESSAGE INFORMATION RETRIEVAL SYSTEM
Document Type and Number:
WIPO Patent Application WO/2017/139539
Kind Code:
A3
Abstract:
A computer system for parsing bulk message information into intelligent question retrieval models receives text-based data associated with a particular user. The system encodes the word into a context-dependent vector, wherein the context-dependent vector indicates the meaning of the word across a semantic space. The system also identifies within a context-independent database a context-independent vector that is associated with the word. Further, the system generates an objective output by combining the context-dependent vector and the context-independent vector. Further still, the system generates a sentence encoding representation by processing at least a portion of the text-based data through a high-level feature embedded convolutional semantic model to generate numerical representations of questions and answers within the text-based dataset. The sentence encoding representation is generated at least in part based upon the objective output.
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Inventors:
ZHANG YONG (US)
LIU NING (CN)
LIU NING (CN)
Application Number:
PCT/US2017/017318
Publication Date:
October 19, 2017
Filing Date:
February 10, 2017
Export Citation:
Assignee:
ZHANG YONG (US)
LIU NING (CN)
LIU NING (CN)
International Classes:
G06F17/27
Foreign References:
| US20110270604A1 | 2011-11-03 | |||
| US20130138641A1 | 2013-05-30 | |||
| US7444356B2 | 2008-10-28 | |||
| US20140095418A1 | 2014-04-03 |
Attorney, Agent or Firm:
STRINGHAM, John C. et al. (US)
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