Paper Info
Title
CUNIT: a semantic role labeling system for modern standard Arabic
Abstract
In this paper, we present a system for Arabic semantic role labeling (SRL) based on SVMs and standard features. The system is evaluated on the released SEMEVAL 2007 development and test data. The results show an Fβ=1 score of 94.06 on argument boundary detection and an overall Fβ=1 score of 81.43 on the complete semantic role labeling task using gold parse trees.
Year
Venue
Keywords
2007
SemEval@ACL
modern standard arabic,test data,arabic semantic role,standard feature,overall f,complete semantic role,gold parse tree,argument boundary detection,semantic role labeling
DocType
Citations 
PageRank 
Conference
4
0.51
References 
Authors
7
3
Name
Order
Citations
PageRank
Mona Diab11945136.84
Alessandro Moschitti23262177.68
daniele pighin328918.72