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.
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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.
Item Type: | Conference or Workshop Item (Paper) |
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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 |
Item ID: | 2471 |
Useful Links: | |
Depositing User: | Mr Kailash Nadh |
Date Deposited: | 30 Jun 2009 10:43 |
Last Modified: | 30 Nov 2022 01:14 |
URI: | https://eprints.mdx.ac.uk/id/eprint/2471 |
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