Difference between revisions of "WordSimilarity-353 Test Collection (State of the art)"

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0.65 Spearman rank correlation
 
0.65 Spearman rank correlation
 
http://nlp.stanford.edu/~lmthang/data/papers/conll13_morpho.pdf
 
http://nlp.stanford.edu/~lmthang/data/papers/conll13_morpho.pdf
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== Table of results ==
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{| border="1" cellpadding="5" cellspacing="1"
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|-
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! Algorithm
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! Reference
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! Spearman's rho
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|-
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| HSMN+csmRNN
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| Luong et al. (2013)
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| 0.646
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|}
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== References ==
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Luong, Minh-Thang, Richard Socher, and Christopher D. Manning. (2013) [http://nlp.stanford.edu/~lmthang/data/papers/conll13_morpho.pdf Better word representations with recursive neural networks for morphology]. CoNLL-2013: 104.
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== See also ==
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* [[Attributional and Relational Similarity (State of the art)]]
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* [[ESL Synonym Questions (State of the art)|ESL Synonym Questions]]
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* [[SAT Analogy Questions]]
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* [[State of the art]]
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[[Category:State of the art]]

Revision as of 12:39, 3 October 2013



0.75 Spearman rank correlation http://www.cs.technion.ac.il/~gabr/papers/ijcai-2007-sim.pdf

0.65 Spearman rank correlation http://nlp.stanford.edu/~lmthang/data/papers/conll13_morpho.pdf


Table of results

Algorithm Reference Spearman's rho
HSMN+csmRNN Luong et al. (2013) 0.646


References

Luong, Minh-Thang, Richard Socher, and Christopher D. Manning. (2013) Better word representations with recursive neural networks for morphology. CoNLL-2013: 104.


See also