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<Paper uid="W98-1408">
  <Title>INTRODUCING MAXIMAL VARIATION IN TEXT PLANNING FOR SMALL DOMAINS</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> * This work describes a method for text planning that is suitable to small domains like train table information. Our aim is to introduce maximal variation in the packaging of * information and in the linear order of its presentation. To this end, we regard text planning as a goal-driven process that dynamically constructs a text plan. The goal is a state where all information in the input is shared with the user; the means to achieve this goal are utterances.</Paragraph>
    <Paragraph position="1"> The application of utterances is limited by constraints that refer to the user's current state of knowledge. This approach to text planning can be conven!ently implemented as a Functional Unification Grammar. In addition, we show how optional or inferable information can be accountedfor, how focus can be distributed, and how the generation of anaphoric expressions can be constrained by looking at the form and content of a previous utterance.</Paragraph>
  </Section>
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