You are here
Diversity Rank-Based Summarization of Stream Texts
Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68936-12-C-0185
Agency Tracking Number: N121-078-1204
Amount:
$149,998.00
Phase:
Phase I
Program:
SBIR
Solicitation Topic Code:
N121-078
Solicitation Number:
2012.1
Timeline
Solicitation Year:
2012
Award Year:
2012
Award Start Date (Proposal Award Date):
2012-07-16
Award End Date (Contract End Date):
2013-01-15
Small Business Information
MD
Suite 400
Rockville, MD
20855-2737
United States
DUNS:
161911532
HUBZone Owned:
No
Woman Owned:
Yes
Socially and Economically Disadvantaged:
No
Principal Investigator
Name: Xiong Liu
Title: Research Scientist
Phone: (301) 294-4629
Email: xliu@i-a-i.com
Title: Research Scientist
Phone: (301) 294-4629
Email: xliu@i-a-i.com
Business Contact
Name: Mark James
Title: Director, Contracts and P
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Title: Director, Contracts and P
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
Name: Stub
Abstract
Intelligent Automation, Inc. (IAI) proposes a novel Diversity rank-based Summarization Tool (DST) for extracting and updating succinct summary from streaming text. DST is a large-scale, dynamic and fast approach for maximizing the ability of intelligence analysts to analyze text-based communication to assess the ever-changing content and trend. With DST, the evolution of the target topic is tracked in real-time. The text network is constructed and updated very efficiently to enhance real-time summary updating. The importance, diversity, and novelty of content in the summary are balanced and optimized through a principled graph-regularization framework.
* Information listed above is at the time of submission. *