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Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

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In Proceedings of the 5th. International Natural Language Generation Conference (INLG), 2008.


This section describes the two systems developed at DIT for the attribute selection track of the REG 2008 challenge. Both of theses systems use an incremental greedy search to generate descriptions, similar to the incremental algorithm described in (Dale and Reiter, 1995). The output of these incremental algorithms are, to a large extent, determined by the order in which the algorithm tests the target object’s attributes for inclusion in the description. Indeed, the major difference between the two systems described in this section is the mechanism used to order the attributes for inclusion.