Similarity metrics within a point of view Vrije Universiteit Brussel
In vector space based approaches to natural language processing,
similarity is commonly measured by taking the angle between
two vectors representing words or documents in a semantic space. This
is natural from a mathematical point of view, as the angle between unit
vectors is, up to constant scaling, the only unitarily invariant metric on
the unit sphere. However, similarity judgement tasks reveal that human
...
similarity is commonly measured by taking the angle between
two vectors representing words or documents in a semantic space. This
is natural from a mathematical point of view, as the angle between unit
vectors is, up to constant scaling, the only unitarily invariant metric on
the unit sphere. However, similarity judgement tasks reveal that human
...