%0 Journal Article
%T Ensemble Learning for Low Resources Prepositional Phrase Attachment
%J International Journal of Information Science
%@ 2163-193X
%D 2012
%I 
%R 10.5923/j.ijis.20120202.01
%X Prepositional phrase attachment is a major disambiguation problem when it¡¯s about parsing natural language, for many languages. In this paper a low resources policy is proposed using supervised machine learning algorithms in order to resolve the disambiguation problem of prepositional phrase attachment in Modern Greek. It is a first attempt to resolve prepositional phrase attachment in Modern Greek, without using sophisticated syntactic annotation and semantic resources, but by employing sophisticated learning techniques i.e ensembles of classifiers.
%K Decision Trees
%K Modern Greek
%K PP attachment
%K Supervised learning
%U http://article.sapub.org/10.5923.j.ijis.20120202.01.html