1999 SemanticSimilarityInATaxonomy
Jump to navigation
Jump to search
- (Resnik, 1999) ⇒ Philip Resnik. (1999). “Semantic Similarity in a Taxonomy: An Information-based Measure and its Application to Problems of Ambiguity in Natural Language.” In: Journal of Artificial Intelligence Research.
Subject Headings: Lexical Semantic Similarity Function.
Notes
Cited By
Quotes
Abstract
This article presents a measure of semantic similarity in an is-a taxonomy based on the notion of shared information content. Experimental evaluation against a benchmark set of human similarity judgments demonstrates that the measure performs better than the traditional edge-counting approach. The article presents algorithms that take advantage of taxonomic similarity in resolving syntactic and semantic ambiguity, along with experimental results demonstrating their effectiveness.
References
,
| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1999 SemanticSimilarityInATaxonomy | Philip Resnik | Semantic Similarity in a Taxonomy: An Information-based Measure and its Application to Problems of Ambiguity in Natural Language | http://www.sims.berkeley.edu/courses/is296a-4/f99/papers/resnik99a.ps |