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<Paper uid="W06-0504">
  <Title>Ontology Population from Textual Mentions: Task Definition and Benchmark</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> In this paper we propose and investigate Ontology Population from Textual Mentions (OPTM), a sub-task of Ontology Population from text where we assume that mentions for several kinds of entities (e.g. PERSON, ORGANIZATION, LOCATION, GEO-POLITICAL_ ENTITY) are already extracted from a document collection. On the one hand, OPTM simplifies the general Ontology Population task, limiting the input textual material; on the other hand, it introduces challenging extensions to Ontology Population restricted to named entities, being open to a wider spectrum of linguistic phenomena.</Paragraph>
    <Paragraph position="1"> We describe a manually created benchmark for OPTM and discuss several factors which determine the difficulty of the task.</Paragraph>
  </Section>
class="xml-element"></Paper>