Vector space word representations are useful for many natural language processing applications as they help quantify how semantically similar two words are. I trained a few vector representations of words on different datasets using word2vec. I am looking for a program that can:

  • benchmark a vector representation of words, ideally on several tasks
  • compare against other vector representations (if possible as close to the state-of-the-art as possible)
  • ideally, work offline

Not ideal, but there is one website, http://www.wordvectors.org, which is presented in the paper "Community Evaluation and Exchange of Word Vectors" by Faruqui, Manaal and Dyer, Chris at ACL 2014 demo track), that allows word vector benchmarking.

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