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2012 16th Panhellenic Conference on Informatics (2010)
Tripoli, Greece
Sept. 10, 2010 to Sept. 12, 2010
ISBN: 978-0-7695-4172-3
pp: 78-82
ABSTRACT
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. Also there are no restrictions regarding the prepositions addressed, as is common in previous approaches.
INDEX TERMS
Decision Trees, Modern Greek, PP attachment, Supervised learning
CITATION
Katia Kermanidis, Pavlos Nalmpantis, Romanos Kalamatianos, Konstantinos Kordas, "Low Resources Prepositional Phrase Attachment", 2012 16th Panhellenic Conference on Informatics, vol. 00, no. , pp. 78-82, 2010, doi:10.1109/PCI.2010.34
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