How Well Do Distributional Models Capture Different Types of Semantic Knowledge?

  title={How Well Do Distributional Models Capture Different Types of Semantic Knowledge?},
  author={Dana Rubinstein and Effi Levi and Roy Schwartz and Ari Rappoport},
In recent years, distributional models (DMs) have shown great success in representing lexical semantics. In this work we show that the extent to which DMs represent semantic knowledge is highly dependent on the type of knowledge. We pose the task of predicting properties of concrete nouns in a supervised setting, and compare between learning taxonomic properties (e.g., animacy) and attributive properties (e.g., size, color). We employ four state-of-the-art DMs as sources of feature… CONTINUE READING
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