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<Paper uid="W04-0904">
  <Title>OntoSem and SIMPLE: Two Multi-Lingual World Views</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> In this paper we compare programs of work that aim to develop broad coverage cross-linguistic resources for NLP: Ontological Semantics (OntoSem) and SIMPLE. The approaches taken in these projects differ in three notable respects: the use of an ontology versus a word net as the semantic substrate; the development of knowledge resources inside of as opposed to outside of a processing environment; and the development of lexicons for multiple languages based on a single core lexicon or without such a core (i.e., in parallel fashion). In large part, these differences derive from project-driven, real-world requirements and available resources - a reflection of their being practical rather than theoretical projects. However, that being said, we will suggest certain preferences regarding the content and development of NLP resources with a view toward both short- and long-term, high-level language processing goals.</Paragraph>
  </Section>
class="xml-element"></Paper>