Ensemble of classifiers for noise detection in PoS tagged corpora

被引：0
|
作者：
Berthelsen, H [1 ]
Megyesi, B
机构：
[1] Telia Promotor, Infovox, S-16902 Solna, Sweden
[2] Univ Stockholm, Dept Linguist, S-10691 Stockholm, Sweden
来源：
TEXT, SPEECH AND DIALOGUE, PROCEEDINGS | 2000年 / 1902卷
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 apply the ensemble approach to the identification of incorrectly annotated items (noise) in a training set. In a controlled experiment, memory-based, decision tree-based and transformation-based classifiers are used as a filter to detect and remove noise deliberately introduced into a manually tagged corpus. The results indicate that the method can be successfully applied to automatically detect errors in a corpus.
引用
收藏
页码：27 / 32
页数：6
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