Paper: Sense and Similarity: A Study of Sense-level Similarity Measures

ACL ID S14-1004
Title Sense and Similarity: A Study of Sense-level Similarity Measures
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

In this paper, we investigate the differ- ence between word and sense similarity measures and present means to convert a state-of-the-art word similarity measure into a sense similarity measure. In or- der to evaluate the new measure, we cre- ate a special sense similarity dataset and re-rate an existing word similarity dataset using two different sense inventories from WordNet and Wikipedia. We discover that word-level measures were not able to differentiate between different senses of one word, while sense-level measures actually increase correlation when shift- ing to sense similarities. Sense-level sim- ilarity measures improve when evaluated with a re-rated sense-aware gold standard, while correlation with word-level similar- ity measures decreases.