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Automatic Causality Determination and Narrative Extraction using the Semantic Inference and Filtering Tool (SIFT)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-11-C-0249
Agency Tracking Number: A11A-010-0382
Amount: $100,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A11a-T010
Solicitation Number: 2011.A
Solicitation Year: 2011
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-08-30
Award End Date (Contract End Date): N/A
Small Business Information
15400 Calhoun Drive Suite 400
Rockville, MD -
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Jyotirmaya Nanda
 Senior Research Scientist
 (301) 294-4634
Business Contact
 Mark James
Title: Director, Contracts and Proposals
Phone: (301) 294-5221
Research Institution
 Univ. of Illinois, Urbana-Champaign
 Dan Roth
3322 Siebel Center 201 N. Goodwin Avenue
Urbana, IL 61801-
United States

 (217) 244-7068
 Nonprofit College or University

Intelligent Automation Inc. (IAI) is teaming with subject matter expert Prof. Dan Roth from the University of Illinois at Urbana-Champaign (UIUC) to propose a web based tool to search, filter, and collaboratively work on"document chains"interactively. The proposed Semantic Inference and Filtering Tool (SIFT) will provide an intuitive interface coupled with advanced Natural Language Processing (NLP) tools for automatic causality determination and narrative extraction from online resources. The proposed web based front end will make it easier for users to interactively narrow down the search space and locate the key document chains they are interested in. The system will allow users to collect and create a personal workspace to work with the selected document chains. Document chain discovery will have a feedback mechanism by which search results can be interactively manipulated by modifying search and ranking parameters. There will be a social networking aspect to the system by which analysts can share and work together on shared workspaces containing one or more document chains. We also propose to develop a working prototype by the end of Phase I that will demonstrate many of these key capabilities to sequence online resources.

* Information listed above is at the time of submission. *

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