C5

被引：1
|
作者：
Suendermann, D. [1 ]
Liscombe, J. [1 ]
Evanini, K. [1 ]
Dayanidhi, K. [1 ]
Pieraccini, R. [1 ]
机构：
[1] SpeechCycle Inc, New York, NY USA
来源：
2008 IEEE WORKSHOP ON SPOKEN LANGUAGE TECHNOLOGY: SLT 2008, PROCEEDINGS | 2008年
关键词：
annotation; statistical utterance classification; quality assurance;
D O I：
10.1109/SLT.2008.4777856
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The annotation of hundreds of thousands of utterances for the training of statistical utterance classifiers requires a careful quality assurance procedure to make the data consistent and reliable. In this paper, we present five methods to analyze different aspects of annotated data to ensure their Completeness, Consistency, Correlation, Congruence and to avoid Confusion-collectively referred to as C-5.
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页码：125 / 128
页数：4
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