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Low Resources Prepositional Phrase Attachment

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4 Author(s)
Pavlos Nalmpantis ; Dept. of Inf., Ionian Univ., Corfu, Greece ; Romanos Kalamatianos ; Konstantinos Kordas ; Katia Kermanidis

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.

Published in:

Informatics (PCI), 2010 14th Panhellenic Conference on

Date of Conference:

10-12 Sept. 2010