learn.ifs.name

GloVe: Global Vectors for Word Representation

Pennington et al., 2014, GloVe (Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP))

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4.1 Evaluation methods

  1. How were GloVe vectors evaluated?
    On the word analogy task (19,544 semantic and syntactic questions answered by cosine nearest neighbour to \(w_b - w_a + w_c\)), on five word similarity data sets (Spearman correlation with human judgments), and as extra features in a CRF for CoNLL-2003 NER.
    • Pennington et al., 2014, GloVe (Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)), §4.1, pp. 1537–1538

Source

  • Jeffrey Pennington, Richard Socher and Christopher D. Manning. 2014. GloVe: Global Vectors for Word Representation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1532–1543. doi:10.3115/v1/D14-1162 https://aclanthology.org/D14-1162/