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<Paper uid="P95-1053">
  <Title>Conciseness through Aggregation in Text Generation</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
activated DSS-DLC for CSA 3208 in 1994 Q3.&amp;quot;
2 System Architecture
</SectionTitle>
    <Paragraph position="0"> Fig. 3 is an overview of PLANDoc's architecture.</Paragraph>
    <Paragraph position="1"> Input to the message generator comes from LEIS-PLAN tracking files which record user's actions during a planning session. The ontologizer adds hierarchical structure to messages to facilitate further processing. The content planner organizes the over-all narrative and determines the linear order of the messages. This includes combining atomic messages into aggregated messages, choosing cue words, and determining paraphrases that maintain focus and ensure coherence. Finally the FUF/SURGE package (Elhadad91; Robin94) lexicalizes the messages and maps case roles into syntactic roles, builds the constituent structure of the sentence, ensures agreement, and generates the surface sentences.</Paragraph>
  </Section>
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