Syntactic Analogies (State of the art): Difference between revisions

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Wikidata and Scholia
 
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** base, past and 3rd person present tense forms of verbs
** base, past and 3rd person present tense forms of verbs
* Originally proposed in [http://aclweb.org/anthology//N/N13/N13-1090.pdf  Mikolov et al. (2013)]
* Originally proposed in [http://aclweb.org/anthology//N/N13/N13-1090.pdf  Mikolov et al. (2013)]
* [https://www.wikidata.org/wiki/Q55387870 Wikidata] and [https://tools.wmflabs.org/scholia/use/Q55387870 Scholia]
* see also: [[Similarity (State of the art)]]
* see also: [[Similarity (State of the art)]]


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[[Category:State of the art]]
[[Category:State of the art]]
[[Category:Similarity]]
[[Category:Similarity]]
[[Category:Analogy]]

Latest revision as of 13:23, 5 July 2018


Table of results

  • Listed in order of increasing accuracy


Algorithm Reference Accuracy (%)
CW-100 Mikolov et al. (2013) 5.0
HLBL-100 Mikolov et al. (2013) 18.7
RNN-1600 Mikolov et al. (2013) 39.6
vLBL+NCE5 Mnih and Kavukcuoglu (2013) 60.8


References

  • Listed alphabetically.

Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig. (2013). Linguistic regularities in continuous space word representations. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2013), Atlanta, Georgia.

Mnih, A. and Kavukcuoglu, K. (2013). Learning word embeddings efficiently with noise-contrastive estimation. In Advances in Neural Information Processing Systems (pp. 2265-2273).