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Semi-unsupervised PP attachment disambiguation for Norwegian

Noklestad A.

Archives of Control Sciences

2005

Vol. 15, no. 3

381--392

Determining the correct attachment site for prepositional phrases is a difficult task for NLP systems. In this work we automatically extract unambiguous PP attachments from a Norwegian corpus and use them for semi-unsupervised training of a memory-based learner on the attachment disambiguation task. The performance of the system is similar to that of a related method which has previously been applied to English, but it obtains this performance level using a simpler and more flexible approach.