ISEC is a new ordinal index that combines word embeddings for semantic distance, an adapted Damerau-Levenshtein algorithm for morphological costs, and empirical frequency to rank category pairs prone to irrecoverable confusion in manual data entry.
A general framework for data uncertainty and quality classification.IFAC-PapersOnLine, 52:277–282
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A categorical error sensitivity index (ISEC): A preventive ordinal decision-support measure for irrecoverable errors in manual data entry systems
ISEC is a new ordinal index that combines word embeddings for semantic distance, an adapted Damerau-Levenshtein algorithm for morphological costs, and empirical frequency to rank category pairs prone to irrecoverable confusion in manual data entry.