SBIR/STTR Research Award

JOLTER: Joint Learning of Topics, Entities, Events and Relations

Award identifier 535811b9f676faf8a8b3fff3428900f80a9f0c670eb13cc07ecfb1374ae99437Awarding agency Department of Defense · Defense Threat Reduction Agency

Award amount

$999,964

Program and phase

SBIR · Phase II

Award year

2017

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Award details

Awarding agency
Department of Defense
Branch
Defense Threat Reduction Agency
Recipient company
LANGUAGE COMPUTER CORPORATION
Proposal award date
2017-12-13
Contract end date
2019-12-12
UEI
JL6ZMGQCB2U6
Solicitation number
2015.2
Topic code
DTRA152-005

Research abstract

In Phase II of JOLTER, we will develop several extensions and improvements upon the probabilistic graphical models developed in Phase I for discovering topics, entities, and relations jointly. The system will be able to (1) Discover and extend hierarchies of topics, entities, and relations; (2) Discover categories for events, multiway relations, and their roles; (3) Conditionalize the topics, entities, and relations on metadata available about the document collection; (4) Display the learned categories and assignments of categories to documents using learned labels; and (5) Learn optimal hyperparameter settings such as the number of categories and perform probabilistic inference in an efficient manner.

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

32 SBIR/STTR records share this UEI (2002–2025). Reported award amounts total $18,138,296. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Science Foundation

Agency intelligence

Department of Defense

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