Evaluation methods for unsupervised word embeddings

  title={Evaluation methods for unsupervised word embeddings},
  author={Tobias Schnabel and Igor Labutov and David M. Mimno and Thorsten Joachims},
We present a comprehensive study of evaluation methods for unsupervised embedding techniques that obtain meaningful representations of words from text. Different evaluations result in different orderings of embedding methods, calling into question the common assumption that there is one single optimal vector representation. We present new evaluation techniques that directly compare embeddings with respect to specific queries. These methods reduce bias, provide greater insight, and allow us to… CONTINUE READING
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