Taxonomic Word Embeddings - Trained on English WordNet Random Walk Pseudo-Corpora

  • Filip Klubicka (Contributor)
  • Alfredo Maldonado (Contributor)
  • Abhijit Mahalunkar (Contributor)
  • John Kelleher (Contributor)

Dataset

Description

This archive contains a collection of computational models called word embeddings. These are vectors that contain numerical representations of words. They have been trained on pseudo-sentences generated artificially from a random walk over the English WordNet taxonomy, and thus reflect taxonomic knowledge about words (rather than contextual).
Date made available1 Jan 2019
PublisherTechnological University Dublin

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