Evaluating Statistically Generated Phrases
Raymond Wan
Department of Computer Science and Software Engineering,
The University of Melbourne,
Victoria 3010, Australia.
Alistair Moffat
Department of Computer Science and Software Engineering,
The University of Melbourne,
Victoria 3010, Australia.
Status
Proc. Australian Document Computing Symposium,
Canberra, December 15, 2003, pages 67-70.
Abstract
An experimental framework for the evaluation of statistically
generated phrases is described.
Two methods are considered.
The first compares the phrases with those found by a natural language
processing system; while the second examines the ability to locate
all instances of each phrase.
The motivation for this work is to determine the usefulness of
statistically generated phrases in a document retrieval system.