Vector-based Models of Semantic Composition

  title={Vector-based Models of Semantic Composition},
  author={Jeff Mitchell and Mirella Lapata},
Vector-based models of word meaning have become increasingly popular in cognitive science. The appeal of these models lies in their ability to represent meaning simply by using distributional information under the assumption that words occurring within similar contexts are semantically similar. Despite their widespread use, vector-based models are typically directed at representing words in isolation and methods for constructing representations for phrases or sentences have received little… CONTINUE READING
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