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<Paper uid="P84-1002">
  <Title>CONVEYING IMPLICIT CONTENT IN NARRATIVE SUMMARW~S</Title>
  <Section position="7" start_page="5" end_page="5" type="concl">
    <SectionTitle>
SUMMARY
</SectionTitle>
    <Paragraph position="0"> Cuiie,,tly, we are working with two programs. PUGG (Plot Unit Graph Generator) operates on an affect-state representation of a story, and produces a graph or network of plot units that act as pointers to the o~e of the conceptual representation of the input story and organizes how it will be '~n~sented&amp;quot; to the program that plans the text of the summary, Precis. Precis is in the early stages of its development and so far can only use a single, core plot unit from the graph as the basis of the summ~'y of the story.</Paragraph>
    <Paragraph position="1"> Precis works at the interface between purely conceptuml and purely linguistic concideratiens as it makes its planning decisions. It chooses from a set of alternative specifications for the summary that vary according to which of the elements of the plot unit are included and which left to be inferred by the audience once they recognize the story as a case of competition. Precis can state the three alternative choices described above (and a few other sets like them), and Mumble can take those specifications and produce the indicated texts. However we do not as yet have any general mechanism for deciding which choice to prefer over the others. Perhaps such a decision mechanism will become apparent once these single unit summaries are embedded in a larger context, or possibly there is no reasonable basis for decision without more knowledge of the purpose of the summary or the ability of a particular audience to make these kinds of inferences (one might have to talk quite differently to young children for exam#e). In futu~ work we also hope to be able to work out a ~ basis for planning the use of infe~e~,ce-directing words like on/y or /nstead.</Paragraph>
  </Section>
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