Features and clustering Every instance (word-type) must be characterised by a vector of feature- values (neighbour word-types and coocurrence frequencies) ; Instances with similar feature-vectors are lumped together - merged Feature-vectors are also merged – AND all other feature-vectors where merged words appear in context must be updated
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