Prepositional phrase attachment ambiguity resolution using semantic hierarchies
Nadh, Kailash and Huyck, Christian R. (2009) Prepositional phrase attachment ambiguity resolution using semantic hierarchies. In: Ninth IASTED International Conference on Artificial Intelligence and Applications, 18th February 2009, Innsbruck.
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This paper describes a system that resolves prepositional phrase attachment ambiguity in English sentence process- ing. This attachment problem is ubiquitous in English text, and is widely known as a place where semantics determines syntactic form. The decision is made based on a four-tuple composed of the head verb of the verb phrase, the head noun of the noun phrase, and the preposition and head noun in the prepositional phrase. A corpus with known results, the Penn Treebank, is used for training and testing purposes. During training, known results are used to build a lattice of hierarchical categories taken from WordNet. These lattices are then compared to the novel lattices derived from the test four-tuples. The results of the system are 90.53% correct attachment decisions.
|Item Type:||Conference or Workshop Item (Paper)|
|Keywords (uncontrolled):||Prepositional Phrase Attachment, Syntactic and Semantic ambiguity, Semantic Nets, Hierarchies, Parsing, Ambiguity Resolution|
|Research Areas:||A. > School of Science and Technology > Computer and Communications Engineering|
|Deposited On:||30 Jun 2009 10:43|
|Last Modified:||19 Mar 2015 17:33|
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