Memory-Based Shallow Parsing

Memory-Based Shallow Parsing (2002)

by Erik F. Tjong Kim Sang , James Hammerton , Miles Osborne , Susan Armstrong , Walter Daelemans

Venue:	Journal of Machine Learning Research
Citations:	17 - 0 self

Datum	Value	Source
TITLE	Memory-based Shallow Parsing	INFERENCE
AUTHOR NAME	Erik F. Tjong Kim Sang	SVM HeaderParse 0.1
AUTHOR AFFIL	CNTS- Language Technology Group; University of Antwerp	SVM HeaderParse 0.2
AUTHOR ADDR	Universiteitsplein 1; B-2610 Wilrijk, Belgium	SVM HeaderParse 0.1
AUTHOR NAME	James Hammerton	SVM HeaderParse 0.1
AUTHOR NAME	Miles Osborne	SVM HeaderParse 0.1
AUTHOR NAME	Susan Armstrong	SVM HeaderParse 0.1
AUTHOR NAME	Walter Daelemans	SVM HeaderParse 0.1
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.	SVM HeaderParse 0.1
YEAR	2002	INFERENCE
VENUE	Journal of Machine Learning Research	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	559--594	INFERENCE
VOLUME	2	INFERENCE
CITATIONS	51 found	ParsCit 1.0