289 search results - page 2 / 58 » Detecting Errors in Semantic Annotation |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Data-driven Spoken Language Understanding (SLU) systems need semantically annotated data which are expensive, time consuming and prone to human errors. Active learning has been su...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
This paper proposes an on-line error detecting method for a manually annotated corpus using min-max modular (M3 ) neural networks. The basic idea of the method is to use guaranteed...
EACL
2003
ACL Anthology
13 years 6 months ago
2003
ACL Anthology
We propose a new method for detecting errors in “gold-standard” part-ofspeech annotation. The approach locates errors with high precision based on n-grams occurring in the cor...
SEMWEB
2004
Springer
13 years 10 months ago
2004
Springer
As the use of Semantic Web ontologies continues to expand there is a growing need for tools that can validate ontological consistency and provide guidance in the correction of dete...
COLING
2002
13 years 5 months ago
2002
While the corpus-based research relies on human annotated corpora, it is often said that a non-negligible amount of errors remain even in frequently used corpora such as Penn Tree...