Low Resources Prepositional Phrase Attachment

Prepositional phrase attachment is a common source of ambiguity in natural language processing. We present an unsupervised corpus-based approach to prepositional phrase attachment that achieves similar performance to supervised methods. Unlike previous ...

We present several unsupervised statistical models for the prepositional phrase attachment task that approach the accuracy of the best supervised methods for this task. Our unsupervised approach uses a heuristic based on attachment proximity and trains ...

Prepositional phrase attachment is a major cause of structural ambiguity in natural 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 ...