Abstract
We have studied several techniques for creating and comparing content representations of
textual documents in the field of event detection. We define a document as a collection
of aspects, i.e. disjoint components that reveal (latent) topics and/or extracted information
such as named entities. As underlying models we consider the vector space model and
probabilistic
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