Using Information Content to Evaluate Semantic Similarity in a Taxonomy

Details Using Information Content to Evaluate Semantic Similarity in a Taxonomy Using Information Content to Evaluate Semantic Similarity in a Taxonomy

1995-11-29

arxiv.org/abs/cmp-lg/9511007v1

Proceedings of the 14th International Joint Conference on Artificial Intelligence

Computer Science

Computation and Language

6 pages, 2 postscript figures, uses ijcai95.sty

Scientific paper

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).

Affiliated with

Also associated with

No associations

Rating

Using Information Content to Evaluate Semantic Similarity in a Taxonomy does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Using Information Content to Evaluate Semantic Similarity in a Taxonomy, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Using Information Content to Evaluate Semantic Similarity in a Taxonomy will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-202028