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IJCNLP
2005
Springer

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

8 years 10 months ago
PP-Attachment Disambiguation Boosted by a Gigantic Volume of Unambiguous Examples
We present a PP-attachment disambiguation method based on a gigantic volume of unambiguous examples extracted from raw corpus. 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.
Daisuke Kawahara, Sadao Kurohashi
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where IJCNLP
Authors Daisuke Kawahara, Sadao Kurohashi
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