Discrete Optimization as an Alternative to Sequential Processing in NLG

Tomasz Marciniak, Michael Strube · Natural Language Generation · 2005

We present an NLG system that uses Integer Linear Programming to integrate different decisions involved in the generation process. Our approach provides an alternative to pipeline-based sequential processing which has become prevalent in today’s NLG applications.

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