@inproceedings{d1df915cfa334546948ae2a8a026167d,
title = "PP-attachment disambiguation boosted by a gigantic volume of unambiguous examples",
abstract = "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.",
author = "Daisuke Kawahara and Sadao Kurohashi",
year = "2005",
doi = "10.1007/11562214_17",
language = "English",
isbn = "3540291725",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "188--198",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "2nd International Joint Conference on Natural Language Processing, IJCNLP 2005 ; Conference date: 11-10-2005 Through 13-10-2005",
}