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Enabling visualization of events from unstructured text (HUMINT) on maps

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2012 / SBIR
Agency Tracking Number:
F112-036-1209
Solicitation Year:
2011
Solicitation Topic Code:
AF112-036
Solicitation Number:
2011.2
Small Business Information
Janya Inc.
1408 Sweet Home Road, Suite 1 Amherst, NY -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2012
Title: Enabling visualization of events from unstructured text (HUMINT) on maps
Agency: DOD
Contract: FA8750-12-C-0063
Award Amount: $149,921.00
 

Abstract:

ABSTRACT: Rapid visualization of events existing in unstructured data requires a system with the ability to accurately detect events and their arguments in such data. Currently, many systems that perform this task do so by relying on only sentential context. Those systems that do rely on document-wide context are more accurate but suffer in terms of efficiency in that they need to process the input document repeatedly, or that in order to process the current input document they require processing of related documents. We experiment with novel approaches for event extraction that rely on document-wide context. Here, event extraction includes event mention detection, event argument detection, and event coreference resolution. One approach is maximum entropy modeling with document-wide features. Another approach models the document as a Dynamic Bayesian Network. They offer the promise of event extraction with higher recall, precision, and speed than previous systems. BENEFIT: The main anticipated benefit of this work includes the development of a system that (i) extracts event mentions and event arguments from unstructured data with higher recall and precision, and (ii) performs event coreference resolution on these event mentions with higher accuracy than was previously attainable. Furthermore, the document-wide classification techniques developed on this project might be transferred to improve the accuracy of other information extraction modules.

Principal Investigator:

John Chen
Sr. Reserach Scientist
(716) 242-8417
jchen@janya.com

Business Contact:

Rohini K. Srihari
CEO
(716) 242-8404
rohini@janya.com
Small Business Information at Submission:

Janya Inc.
1408 Sweet Home Road, Suite 1 Amherst, NY -

EIN/Tax ID: 202756644
DUNS: N/A
Number of Employees:
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No