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This chapter describes how AI systems can generate texts using algorithms and rules which explicitly make decisions about the content and language of generated texts. Rule-based NLG has been overshadowed by neural NLG in recent years, but it is still the best way to build some NLG applications. Rule-based NLG also shows the types of decisions which need to be made in text generation. A good understanding of this helps anyone working in NLG, even if they use other approaches.

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Rule-Based NLG

  • 章节

  • 发表日期：

    2025年

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  • Ehud Reiter

摘要

This chapter describes how AI systems can generate texts using algorithms and rules which explicitly make decisions about the content and language of generated texts. Rule-based NLG has been overshadowed by neural NLG in recent years, but it is still the best way to build some NLG applications. Rule-based NLG also shows the types of decisions which need to be made in text generation. A good understanding of this helps anyone working in NLG, even if they use other approaches.