Creating a Similarity Graph from WordNet
Lubomir Stanchev · 2014
The paper addresses the problem of modeling the relationship between the words in the English language using a similarity graph. The mathematical model stores data about the strength of the relationship between words expressed as a decimal number. Both structured data from WordNet, such as that the word "canine" is a hypernym (i.e., kind of) of the word "dog", and textual descriptions, such as that the definition of the word "dog" is: "a member of the genus Canis that has been domesticated by man since prehistoric times", are used in creating the graph. The quality of the graph data is validated by comparing the similarity of pairs of words using our software that uses the graph with results of studies that are performed with human subjects. To the best of our knowledge, our software produces better correlation with the results of both the Miller and Charles study and the WordSimilarity-353 study than any other published research.