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Detecting Errors in Semantic Annotation
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC 2008)
Abstract
We develop a method for detecting errors in semantic predicate-argument annotation, based on the variation n-gram error detection method. After establishing an appropriate data representation, we detect inconsistencies by searching for identical text with varying annotation. By remaining data-driven, we are able to detect inconsistencies arising from errors at lower layers of annotation.