Better Extraction from Text Towards Enhanced Retrieval (BETTER)
Current systems and methods often treat extraction problems as “one size fits all” with ontologies defined a priori and used to address a wide range of analyst needs. Additionally, information retrieval systems lack a deep integration with information extraction systems, especially when viewed in light of personalized information extraction. A final hurdle many tools face is the applicability to a single language or problem domain.
The BETTER program aims to develop enhanced methods for personalized, multilingual semantic extraction and retrieval from text. The goal is to provide a user with a system that quickly and accurately extracts complex semantic information, targeted for a specific user, from text. The system then uses this extracted information to discover and triage relevant documents from a large corpus. Toward this end, BETTER will focus on three research areas: 1) information extraction, 2) information retrieval, and 3)human-in-the-loop interaction. BETTER will apply these three research areas across three phrases composed of diverse problem areas and language sets. Increasingly fine-grained information needs will serve to focus the information extraction and retrieval elements throughout each phase, as well as providing a basis for human-in-the-loop interaction.
Contracting Office Address
Office of the Director of National Intelligence
Intelligence Advanced Research Projects Activity
Washington, DC 20511
Primary Points of Contact
Solicitation Status: CLOSED
Proposers' Day Date: March 29, 2018
BAA Release Date: July 6, 2018
BAA Question Period: July 6, 2018 - August 10, 2018
Proposal Due Date: September 28, 2018
Proposers' Day Briefings