University of Utah
Department of Computer Science
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Assistant Professor of Computer Science
Ph.D.
, University of Massachusetts at
Amherst, 1994
Professor Riloff's
research interests are in the
areas of natural language processing, information retrieval, and
artificial intelligence. Her primary interest is in using natural
language processing techniques to develop intelligent text processing
systems. Her current research projects involve information extraction,
automated dictionary construction, and text categorization. She has
created a system called AutoSlog that automatically builds
dictionaries for extracting information from text. She has also
developed several algorithms that use AutoSlog's dictionary to
automatically classify texts. Prior to joining the Utah faculty,
Professor Riloff participated in several ARPA-sponsored message
understanding conferences (MUCs) as part of the natural language
processing lab at the University of Massachusetts. She played a major
role in developing the UMass/MUC-3 and MUC-4 systems, which were among
the top-performing systems at these conferences.
-
E. Riloff.
Little Words Can Make a Big Difference for Text Classification.
To appear in Proceedings of the Eighteenth International
Conference on Research and Development in Information Retrieval
(SIGIR-95). 1995.
-
E. Riloff and J. Shoen.
Automatically Acquiring Conceptual Patterns Without an Annotated
Corpus. In Proceedings of the Third Workshop on Very Large
Corpora, pages 148--161. 1995.
-
E. Riloff and W. Lehnert.
Information Extraction as a Basis for High-Precision Text
Classification.
ACM Transactions on Information Systems, Vol. 12, No. 3,
pp. 296--333. 1994.
-
E. Riloff.
Automatically Constructing a Dictionary for Information Extraction
Tasks.
In Proceedings of the Eleventh National Conference on
Artificial Intelligence, pages 811--816. AAAI Press/The MIT Press, 1993.
-
E. Riloff and W. Lehnert.
Classifying Texts Using Relevancy Signatures.
In Proceedings of the Tenth National Conference on Artificial
Intelligence, pages 329--334. AAAI Press/The MIT Press, 1992.
}
Next: Kris Sikorski
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