SBIR/STTR Research Award
Automated Glossary and Contrastive ML to Identify and Explore Subgroup Differences
Award amount
$1,097,051Program and phase
SBIR · Phase IIAward year
2023Award details
- Awarding agency
- Department of Defense
- Branch
- Office of the Secretary of Defense
- Recipient company
- Fox and Geese LLC
- Proposal award date
- 2023-09-15
- Contract end date
- 2025-03-14
- UEI
- N2HJC6CZL3N5
- Solicitation number
- 20.3
- Topic code
- OSD203-004
Research abstract
Fox and Geese LLC proposes to engineer a prototype to identify and auto-define terms from target text. This work will include machine learning techniques to contrast term usage among different document corpora. As well, it will include mechanisms to continually learn and improve definitional activities.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Computer Software to Detect Coordinated Web Activity From Near-Peer Competitors
- Lucent Text: AI to Identify Jeopardous Topics for Air Force Inspection
- NLP ONE TWO THREE: Intuitive DoD Dictionary, Patterns, and Forecasts
- AI ASSISTANT FOR LEGAL PROFESSIONALS
- RACIAL EQUITY DEEP DIVE: Leveraging Machine Learning to Fully Surface Insights From Qualitative Data
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Jargon Association for Language Analysis in Domains (JALAD) II
- Jargon Association for Language Analysis in Domains (JALAD)
Research funding history
7 SBIR/STTR records share this UEI (2020–2023). Reported award amounts total $2,325,555. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense