Techniques for Text Planning with XSLT

نویسندگان

  • Mary Ellen Foster
  • Michael White
چکیده

We describe an approach to text planning that uses the XSLT template-processing engine to create logical forms for an external surface realizer. Using a realizer that can process logical forms with embedded alternatives provides a substitute for backtracking in the text-planning process. This allows the text planner to combine the strengths of the AI-planning and template-based traditions in natural language generation.

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تاریخ انتشار 2004