Paper: PP-Attachment Disambiguation Boosted by a Gigantic Volume of Unambiguous Examples

ACL ID I05-1017
Title PP-Attachment Disambiguation Boosted by a Gigantic Volume of Unambiguous Examples
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2005
Authors

We present a PP-attachment disambiguation method based on a gigantic volume of unambiguous examples extracted from raw cor- pus. The unambiguous examples are utilized to acquire precise lexical preferences for PP-attachment disambiguation. Attachment decisions are made by a machine learning method that optimizes the use of the lexical preferences. Our experiments indicate that the precise lexical preferences work effectively.