@inproceedings{agirre2009study,
  abstract = {This paper presents and compares WordNet-based and distributional similarity approaches. The strengths and weaknesses of each approach regarding similarity and relatedness tasks are discussed, and a combination is presented. Each of our methods independently provide the best results in their class on the RG and WordSim353 datasets, and a supervised combination of them yields the best published results on all datasets. Finally, we pioneer cross-lingual similarity, showing that our methods are easily adapted for a cross-lingual task with minor losses.},
  acmid = {1620758},
  address = {Stroudsburg, PA, USA},
  author = {Agirre, Eneko and Alfonseca, Enrique and Hall, Keith and Kravalova, Jana and Pa\c{s}ca, Marius and Soroa, Aitor},
  booktitle = {Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics},
  interhash = {35326b1cfd5cde92744c22b981c84b23},
  intrahash = {e91cce045a1d323c0012027f04771733},
  isbn = {978-1-932432-41-1},
  location = {Boulder, Colorado},
  numpages = {9},
  pages = {19--27},
  publisher = {Association for Computational Linguistics},
  series = {NAACL '09},
  title = {A study on similarity and relatedness using distributional and WordNet-based approaches},
  url = {http://portal.acm.org/citation.cfm?id=1620754.1620758},
  year = 2009
}