Distributional Hypernym Generation by Jointly Learning Clusters and Projections

  title={Distributional Hypernym Generation by Jointly Learning Clusters and Projections},
  author={Josuke Yamane and Tomoya Takatani and Hitoshi Yamada and Makoto Miwa and Yutaka Sasaki},
We propose a novel word embedding-based hypernym generation model that jointly learns clusters of hyponym-hypernym relations, i.e., hypernymy, and projections from hyponym to hypernym embeddings. Most of the recent hypernym detection models focus on a hypernymy classification problem that determines whether a pair of words is in hypernymy or not. These models do not directly deal with a hypernym generation problem in that a model generates hypernyms for a given word. Differently from previous… CONTINUE READING

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