Tell Me About
Navy SBIR FY2012.2
Sol No.: |
Navy SBIR FY2012.2 |
Topic No.: |
N122-136 |
Topic Title: |
Tell Me About |
Proposal No.: |
N122-136-0655 |
Firm: |
Language Computer Corporation 2435 N. Central Expressway
Suite 1200
Richardson, Texas 75080-2747 |
Contact: |
Michael Mohler |
Phone: |
(972) 231-0052 |
Web Site: |
www.languagecomputer.com |
Abstract: |
Our proposed work addresses the significant challenges in providing responses to complex "tell me about" questions that intelligently consolidate relevant information into a finished dossier. We will induce the semantic signature of the question target by using relevant sample intelligence reports to derive a set of information requirements which will be used to create a finished dossier. These information requirements will drive the retrieval of relevant textual passages which will be semantically enriched using novel approaches to relation discovery and frame induction. The entities and events discovered in these enriched passages will then be linked to a structured knowledge base allowing for the addition of pre-processed factoids about related entities and events. Finally, this information will be fused into a final, finished dossier which will provide a rich source of links and information for the analyst. We will explore a hybrid strategy with ties to research in Automatic Wikipedia generation that will augment and enhance LCC's existing state-of-the-art Ferret QA system. In addition, we will leverage existing state-of-the-art natural language understanding and content extraction in order to acquire the semantic and pragmatic information necessary to satisfies the demands of today's information analysts with a single finished dossier. |
Benefits: |
Over the past 10 years, Language Computer Corporation (LCC) has been a pioneer in developing innovative solutions designed to help users unlock value from text corpora. We have focused on both believed there is a need for systems capable of providing accurate information about the persons, groups, places, and events within a set of documents within multiple sectors of the U.S. government, including the Departments of Defense, Department of Homeland Security, Federal Bureau of Investigation, and the national intelligence organizations overseen by the Office of the Director of National Intelligence. We anticipate that our prototype system developed as part of AQUIRE will not only enhance the quality of Language Computer's existing open-domain question-answering system Ferret and our Lorify entity and event knowledge base generation software, but will also serve the information needs of operational customers as well. |
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