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A Sys Called Qanda
March 2000
Eric Breck, The MITRE Corporation
John Burger, The MITRE Corporation
Lisa Ferro, The MITRE Corporation
David House, The MITRE Corporation
Marc Light, The MITRE Corporation
Inderjeet Mani, The MITRE Corporation
ABSTRACT
Our question answering system was built with a number of priorities
in mind. First, we wanted to experiment with natural language processing
(NLP) technologies such as shallow parsing, named entity tagging, and
coreference chaining. We felt that the small number of terms in the
questions coupled with the short length of the answers would make NLP
technologies clearly beneficial, unlike previous experiments with NLP
technologies on traditional IR tasks. At a more practical level, we
were familiar with and interested in such technologies and thus their
use would be relatively straightforward and enjoyable. Second, we wanted
to use information retrieval (IR) techniques in hopes of achieving robustness
and efficiency. It seemed obvious that many answers would appear in
documents and passages laden with terms from the question. Finally,
we wanted to experiment with different modules from different sites
with differing input and output representation and implementational
details. Thus, we needed a multi-process system with a flexible data
format.
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