Paper: A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches

ACL ID N09-1003
Title A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches
Venue Human Language Technologies
Session Main Conference
Year 2009
Authors

This paper presents and compares WordNet- based and distributional similarity approaches. The strengths and weaknesses of each ap- proach regarding similarity and relatedness tasks are discussed, and a combination is pre- sented. Each of our methods independently provide the best results in their class on the RG and WordSim353 datasets, and a super- vised combination of them yields the best pub- lished results on all datasets. Finally, we pio- neer cross-lingual similarity, showing that our methods are easily adapted for a cross-lingual task with minor losses.