WordSimilarity-353 Test Collection (State of the art)
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- WordSimilarity-353 Test Collection
- contains two sets of English word pairs along with human-assigned similarity judgements
- first set (set1) contains 153 word pairs along with their similarity scores assigned by 13 subjects
- second set (set2) contains 200 word pairs with similarity assessed by 16 subjects
- WordSimilarity-353 dataset is available here
- performance is measured by Spearman's rank correlation coefficient
- introduced by Finkelstein et al. (2002)
- subsequently used by many other researchers
Table of results
- Listed in order of increasing Spearman's rho.
| Algorithm | Reference | Type | Spearman's rho |
|---|---|---|---|
| simVB+simWN | Finkelstein et al. (2002) | Hybrid | 0.55 |
| HSMN+csmRNN | Luong et al. (2013) | Corpus-based | 0.65 |
| ESA-Wikipedia | Gabrilovich and Markovitch (2007) | Hybrid | 0.75 |
References
Finkelstein, Lev, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman, and Eytan Ruppin. (2002) Placing Search in Context: The Concept Revisited. ACM Transactions on Information Systems, 20(1):116-131.
Gabrilovich, Evgeniy, and Shaul Markovitch. (2007). Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis. In IJCAI, vol. 7, pp. 1606-1611.
Luong, Minh-Thang, Richard Socher, and Christopher D. Manning. (2013). Better word representations with recursive neural networks for morphology. CoNLL-2013: 104.