Clustering Semantics for Discourse Generation

نویسندگان

  • Martin Alberink
  • Lloyd Rutledge
  • Mettina Veenstra
چکیده

In earlier work, we have shown how clustering techniques can transform semantic markup into discourse, which style sheets can transform into hypermedia presentations. This paper discusses the different clustering techniques for deriving discourse from semantics. These techniques use properties, relations and numerical properties of information objects and semantic networks. We show how these clustering techniques contribute to generating the hierarchical and sequential components of discourse.

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تاریخ انتشار 2003