Concept-Based Event Extraction Utilizing Rich Semantics (CONVERSE)

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,691.00
Award Year:
2006
Program:
SBIR
Phase:
Phase I
Contract:
FA8750-06-C-0124
Agency Tracking Number:
F061-060-2594
Solicitation Year:
2006
Solicitation Topic Code:
AF06-060
Solicitation Number:
2006.1
Small Business Information
LANGUAGE COMPUTER CORPORATION
1701 North Collins Blvd., Suite 2000, Richardson, TX, 75080
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
127802234
Principal Investigator:
John Lehmann
Principal Investigator
(972) 231-0052
john.lehmann@languagecomputer.com
Business Contact:
Yolanda Guzman
Vice President - Financial & Legal
(972) 231-0052
yolanda@languagecomputer.com
Research Institution:
n/a
Abstract
This effort involves a novel approach to event extraction that relies on rich semantic knowledge. Semantic information ranging from semantic word senses, semantic frames that describe conventional situations, predicate-argument structures and named entity classes are used to produce conceptual representations of events and to identify all essential information. In addition, in this effort we propose to enhance the semantic information with discourse-level information for capturing event-related knowledge which spans across multiple sentences. The concept-based event-extraction methodology proposed herein will enable information analysts to effectively monitor and analyze event-relevant information from textual data sources.

* information listed above is at the time of submission.

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