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Question Answering from
Large Document Collections
March 2000
Eric Breck, The MITRE Corporation
John Burger, The MITRE Corporation
David House, The MITRE Corporation
Marc Light, The MITRE Corporation
Inderjeet Mani, The MITRE Corporation
ABSTRACT
We present a question answering system with a hybrid design, combining
techniques from knowledge representation, information retrieval, and
natural language processing. This combination enables domain independence
and robustness in the face of text variability, both in the question
and in the raw text documents used as knowledge sources. We describe
the specific design of our current prototype, which has been entered
in the 1999 Text Retrieval Conference's Question Answering track.
We also comment on the evaluation of question answering systems.
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