Computer Science – Computation and Language
Scientific paper
2000-05-30
ANLP'00, Seattle, WA, May 2000
Computer Science
Computation and Language
8 pages
Scientific paper
In this paper, we describe a system to rank suspected answers to natural language questions. We process both corpus and query using a new technique, predictive annotation, which augments phrases in texts with labels anticipating their being targets of certain kinds of questions. Given a natural language question, an IR system returns a set of matching passages, which are then analyzed and ranked according to various criteria described in this paper. We provide an evaluation of the techniques based on results from the TREC Q&A evaluation in which our system participated.
Prager John
Radev Dragomir R.
Samn Valerie
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