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<Paper uid="C96-2181">
  <Title>NKRL, a Knowledge Representation Language for Narrative Natural Language Processing</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1. Introduction
NKRL (Narrative Knowledge Representation
</SectionTitle>
    <Paragraph position="0"> Language) aims to propose some possible, pragmatic solutions for the set up of a standardised description of the semantic contents (in short, the &amp;quot;meaning&amp;quot;) of natural language (NL) n,'uTative documents. With the term &amp;quot;nan'ative documents&amp;quot; we denote here NL texts of an industrial and economic interest con'esponding, e.g., to news stories, corporate documents, normative texts, intelligence messages, etc.</Paragraph>
    <Paragraph position="1"> The NKRL code can be used according to two main modalities. It can be employed as a standard vehicle for the interchange of content information about narrative documents. It can also bc utilised to support a wide range of industrial applications, like populating large knowledge bases which can support, thereafter, all sort of &amp;quot;intelligent&amp;quot; applications (advanced expert systems, case-based reasoning, intelligent information retrieval, etc.). NKRL is a fully implemented language ; the most recent versions have been rcalised in the frmnework of two European projects : NOMOS, Esprit P5330, and COBALT,</Paragraph>
  </Section>
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