Gloss Overlap Extensions for a Semantic Network Algorithm: Building a Better Semantic Distance Measure

Thimal Jayasooriya, Suresh Manandhar

Research output: Contribution to conferencePaperpeer-review

Abstract

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.
Original languageUndefined/Unknown
Pages74-79
Publication statusPublished - 2006

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