Learning linear transformations between counting-based and prediction-based word embeddings

@inproceedings{Bollegala2017LearningLT,
  title={Learning linear transformations between counting-based and prediction-based word embeddings},
  author={Danushka Bollegala and Kohei Hayashi and Ken-ichi Kawarabayashi},
  booktitle={PloS one},
  year={2017}
}
Despite the growing interest in prediction-based word embedding learning methods, it remains unclear as to how the vector spaces learnt by the prediction-based methods differ from that of the counting-based methods, or whether one can be transformed into the other. To study the relationship between counting-based and prediction-based embeddings, we propose a method for learning a linear transformation between two given sets of word embeddings. Our proposal contributes to the word embedding… CONTINUE READING

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