Ensemble Learning for Low Resources Prepositional Phrase Attachment
نویسندگان
چکیده
منابع مشابه
Ensemble Learning for Low Resources Prepositional Phrase Attachment
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 G...
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Probabilistic models have been effective in resolving prepositional phrase attachment ambiguity, but sparse data remains a significant problem. We propose a solution based on similarity-based smoothing, where the probability of new PPs is estimated with information from similar examples generated using a thesaurus. Three thesauruses are compared on this task: two existing generic thesauruses an...
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ژورنال
عنوان ژورنال: International Journal of Information Science
سال: 2012
ISSN: 2163-1921
DOI: 10.5923/j.ijis.20120202.01