About This Document
- sl:arxiv_author : Philip Resnik
- sl:arxiv_firstAuthor : Philip Resnik
- sl:arxiv_num : cmp-lg/9511007
- sl:arxiv_published : 1995-11-29T19:32:04Z
- sl:arxiv_summary : This paper presents a new measure of semantic similarity in an IS-A taxonomy,
based on the notion of information content. Experimental evaluation suggests
that the measure performs encouragingly well (a correlation of r = 0.79 with a
benchmark set of human similarity judgments, with an upper bound of r = 0.90
for human subjects performing the same task), and significantly better than the
traditional edge counting approach (r = 0.66).@en
- sl:arxiv_title : Using Information Content to Evaluate Semantic Similarity in a Taxonomy@en
- sl:arxiv_updated : 1995-11-29T19:32:04Z
- sl:bookmarkOf : https://arxiv.org/abs/cmp-lg/9511007
- sl:creationDate : 2020-04-27
- sl:creationTime : 2020-04-27T17:22:44Z
Documents with similar tags (experimental)