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

From ACL Wiki
Jump to: navigation, search
(Created page with "* [http://research.microsoft.com/en-us/um/people/gzweig/Pubs/myz_naacl13_test_set.tgz Microsoft Research Syntactic Analogies Dataset] * A test set of analogy questions of the ...")
(No difference)

Revision as of 11:06, 28 April 2014

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


  • 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).