Answering Questions for Intelligence Reports (AQUIRE) Phase II

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-18-C-0072
Agency Tracking Number: D2-2121
Amount: $1,499,864.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N122-136
Solicitation Number: 2012.2
Timeline
Solicitation Year: 2012
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-08-03
Award End Date (Contract End Date): 2020-11-02
Small Business Information
2435 N. Central Expressway, Richardson, TX, 75080
DUNS: 127802234
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Michael Mohler
 (972) 231-0052
 michael@languagecomputer.com
Business Contact
 Finley Lacatusu
Phone: (972) 310-0052
Email: finley@languagecomputer.com
Research Institution
N/A
Abstract
In Phase II of AQUIRE, we will develop a prototype document background generation and management system that can be used by analysts and decision makers to access information gathered from a wide variety of unstructured sources about entities, relations, and complex situations. This system will be able to (1) construct topically organized entity corpora which are automatically supplemented with structured tables of important entity attributes and relations; (2) construct relation-focused document collections which contain fine-grained representations of the type of relation, with particular focus on identifying influential group members and sentiment towards other entities; (3) construct situation-focused information on complex events and other spatiotemporally grounded topics; and (4) provide added benefit to analysts in the form of hierarchical content exploration, hyperlinked access to and between information sources, and recommendations of other pertinent knowledge resources. System development during the option period will enable (5) deeper representations of the beliefs and goals of individuals and groups which drive their actions and responses; and (6) continuous updates from streaming data sources to identify new candidates for report generation (e.g., emerging events), find new information for inclusion in or revision of existing documents, and model document confidence and source trustworthiness through an unobtrusive feedback mechanism.

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

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