Next: Introduction
James Hammerton, Miles Osborne, Susan Armstrong and
Walter Daelemans
Memory-Based Shallow Parsing
Erik F. Tjong Kim Sang rikt@uia.ua.ac.be
CNTS - Language Technology Group
University of Antwerp
Universiteitsplein 1
B-2610 Wilrijk, Belgium
e
Abstract:
We present memory-based learning approaches to shallow parsing and
apply these to five tasks: base noun phrase identification, arbitrary
base phrase recognition, clause detection, noun phrase parsing and
full parsing.
We use feature selection techniques and system combination methods
for improving the performance of the memory-based learner.
Our approach is evaluated on standard data sets and the results are
compared with that of other systems.
This reveals that our approach works well for base phrase
identification while its application towards recognizing embedded
structures leaves some room for improvement.
Erik Tjong Kim Sang
2002-03-13