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<Paper uid="P06-2072">
  <Title>Modeling Adjectives in Computational Relational Lexica</Title>
  <Section position="7" start_page="559" end_page="559" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper we argue that the semantics of adjectives can be appropriately captured in wordnet-like lexica by means of the implementation of a small set of new relations, which have a strong linguistic motivation and preserve the coherence of the model.</Paragraph>
    <Paragraph position="1"> We focus on property ascribing adjectives and we distinguish between descriptive and relational adjectives. Besides the relevance of this dichotomy, we also address the opposition between accidental and permanent properties, as adjective association to certain kind of properties determines their syntactic and semantic behav7 Nevertheless, relations between adjectives and verbs are already being implemented at the current stage.</Paragraph>
    <Paragraph position="2"> ior, namely with regard to secondary predication.</Paragraph>
    <Paragraph position="3"> Here, we model these distinctions in Word-Net.PT via cross-POS relations: characterizes with regard to/can be characterized by to model descriptive adjectives introducing permanent properties; has_telic_subevent/is_telic_subevent to model descriptive adjectives associated to accidental properties; and the is related to to model relational adjectives.</Paragraph>
    <Paragraph position="4"> Moreover, we make apparent that increasing the expressive power of the system has an important impact in precision concerning the specifications of all POS, mainly induced by the cross-POS relations.</Paragraph>
    <Paragraph position="5"> This way, we provide a simple and integrated solution for a complex and heterogeneous problem. null</Paragraph>
  </Section>
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