Emerging Media Group
Nancy Chinchor
Emerging Media Group, Open Source Center
Director of National Intelligence
Washington, D.C.
NancyC@rccb.osis.gov
The Emerging Media Group (EMG) was created in August
2007 as a transformative endeavor of the DNI's Open
Source Center. It collaborates with regional offices in the
OSC in its response to requirements from across the
community. Its main goal is to transform analysis of
publically available data. The speaker will describe their
current mission and projects as well as their approach to
multimedia.
Selected Publications
Gregory, M., Chinchor, N., Whitney, P., Carter, R., Hetzlre,
E., and Turner, A. 2006. User-Directed Sentiment Analysis:
Visualizing The Affective Content Of Documents. 2006.
Workshop On Sentiment And Subjectivity In Text, 2006.
Robinson, P., Brown, E., Burger, J., Chinchor, N., Douthat,
A., Ferro, L., and Hirschman, L. 1999. Overview:
Information extraction from broadcast news.
In
Proceedings of DARPA Broadcast News Workshop, pp. 2730.
Chinchor, N. A. 1996. MUC/MET evaluation trends. In
Proceedings of a Workshop at the Annual Meeting of the
ACL. Baltimore, Maryland, October 13 - 15, 1998.
Association for Computational Linguistics, Morristown, NJ,
235-239.
Merchant, R., Okurowski, M. E., and Chinchor, N. 1996.
The multilingual entity task (MET) overview. In
Proceedings of a Workshop at the Annual Meeting of the
ACL. Vienna, Virginia, May 06 - 08, 1996. Association for
Computational Linguistics, Morristown, NJ, 445-447.
Nancy Chinchor, Lynette Hirschman, David D. Lewis.
1993. Evaluating Message Understanding Systems: An
Analysis of the Third Message Understanding Conference
(MUC-3). Computational Linguistics 19(3): 409-449.
Biography
Dr. Nancy Chinchor works in the Emerging Media Group
(EMG) in the Open Source Center. Prior to that, Dr.
Chinchor was a Research Scientist in the Analytic and
Behavioral Sciences Group in the Advanced Technologies
and Programs Office for the United States Government.
Prior to joining the government in 2002, Dr. Chinchor
worked for 12 years evaluating information extraction
technology under contract to the Defense Advanced
Research Projects Agency and the Advanced Research and
Development Activity. Her work was foundational in
establishing information extraction as a field in
Computational Linguistics. Preceding her contribution to
computational linguistics, Nancy worked as a computer
programmer on a variety of defense and commercial
products including the brake system for the Washington,
D.C. subway cars. She has an undergraduate degree in
Mathematics from Carnegie Mellon University and a
graduate degree in Linguistics from Brown University. Her
postdoctoral research focused on the Linguistics of
American Sign Language.