Prepositional phrase attachment ambiguity resolution using semantic hierarchies

Nadh, Kailash and Huyck, Christian R. ORCID: https://orcid.org/0000-0003-4015-3549 (2009) Prepositional phrase attachment ambiguity resolution using semantic hierarchies. Hamza, M. H., ed. Artificial Intelligence and Applications (AIA 2009). In: 9th IASTED International Conference on Artificial Intelligence and Applications, 17-18 Feb 2009, Innsbruck, Austria. ISBN 9780889867796, e-ISBN 9780889867802. [Conference or Workshop Item]

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Abstract

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.

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