Applying Co-Training to reference resolution

被引：0
|
作者：
Müller, C [1 ]
Rapp, S [1 ]
Strube, M [1 ]
机构：
[1] European Media Lab GmbH, D-69118 Heidelberg, Germany
来源：
40TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we investigate the practical applicability of Co-Training for the task of building a classifier for reference resolution. We are concerned with the question if Co-Training can significantly reduce the amount of manual labeling work and still produce a classifier with an acceptable performance.
引用
收藏
页码：352 / 359
页数：8
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