Paper: Prepositional Phrase Attachment Through A Hybrid Disambiguation Model

ACL ID C96-2190
Title Prepositional Phrase Attachment Through A Hybrid Disambiguation Model
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1996
Authors

Prepositional phrase attachment is a ma- jor cause of stru(:tural alnbiguity in nat- ural language. Recent work has been dependent on corpus-based approaches to deal with this problem. However, corpus-based approaches suffer from the sparse-data problem. To cope with this problem, we introduce a hybrid method of integrating corpus-based approach with knowledge-based techniques, using a wide-variety of information that comes from annotated corpora and a machine- readable dictionary. When the occur- rence frequency on the corpora is low, we use preference rules to determine PP at- tachment based on clues from conceptual information. An experiment has proven that our hybrid method is both effective and applicable in practice.