Systems & Technology Research LLC — Department of Defense SBIR Phase I: DTRA152-005
Systems & Technology Research LLC — SBIR Phase I award from Department of Defense.
- Amount
- $148,447
- Agency
- Department of Defense · Defense Threat Reduction Agency
- Program / Phase
- SBIR · Phase I
- Topic
- DTRA152-005
- Solicitation
- 2015.2
- NAICS
- —
- Place of performance
- MA
- Period
- 2016-07-27 → 2017-02-26
Description
STR proposes to build Categories via Context-Driven Dimensionality Reduction (C2D2R), a novel, highly efficient, and scalable information processing pipeline for joint learning of categories of entities and relations, and document topics.C2D2R operates in three stages: shallow pre-processing of text inputs, context-driven dimensionality reduction, and joint category inference and labeling. Our system will build upon the FACTORIE open source machine learning library, and will be tested on DTRA mission relevant datasets.We will measure the performance of the C2D2R system in terms of category coherence, agreement with data annotations, and computation time.The result will be computationally efficient and scalable, will work with minimal or no human supervision, require no predefined classes, be readily adaptable to new domains, and enable conditioning on any dimension to see the effect on other variables.