Gloss Overlap Extensions for a Semantic Network Algorithm: Building a Better Semantic Distance Measure.
Thimal Jayasooriya, Suresh Manandhar · The Florida AI Research Society · 2006
Semantic similarity or inversely, semantic distance measures are useful in a variety of circumstances, from spell checking applications to a lightweight replacement for parsing within a natural language engine. Within this work, we examine the (Jiang & Conrath 1997) algorithm; evaluated by (Budanitsky & Hirst 2000) as being the best performing, and subject the algorithm to a series of tests. We also propose a novel technique which corrects a crucial weakness of the original algorithm, and show that its application improves semantic distance measures for cases where the underlying linguistic network causes deficiencies.