Title
Cross-linguistic attribute selection for REG: comparing Dutch and English
Abstract
In this paper we describe a cross-linguistic experiment in attribute selection for referring expression generation. We used a graph-based attribute selection algorithm that was trained and cross-evaluated on English and Dutch data. The results indicate that attribute selection can be done in a largely language independent way.
Year
Venue
Keywords
2010
Journal of Multimedia
attribute selection,graph-based attribute selection algorithm,dutch data,expression generation,cross-linguistic attribute selection,cross-linguistic experiment
Field
DocType
Citations 
Data mining,Graph,Referring expression generation,Feature selection,Computer science,Natural language processing,Artificial intelligence
Conference
3
PageRank 
References 
Authors
0.43
5
3
Name
Order
Citations
PageRank
Mariët Theune137943.91
Ruud Koolen2348.88
Emiel Krahmer3866110.30