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Summary: Exploiting Hyponymy in Extracting Relations and Enhancing Ontologies
Bhushan Mandhani Stephen Soderland
Dept. of Computer Science
University of Washington
Seattle USA 98195
Abstract
Relation extraction systems typically rely on local lexical
and syntactic features as evidence. Recent work suggests
that for a given relation, there might exist certain patterns
which, if present in the graph of relationships between ob-
jects, provide additional evidence for that relation. While
these relational patterns can be very useful, obtaining them
on a per-relation basis can be difficult. We propose template
relational patterns based on the hyponymy relation. These
patterns are applicable for all relations. Existing resources
like WordNet are a rich and reliable source of hyponymy
relationships between entities. We present techniques for
making use of these template patterns for extracting rela-
tionships and incorporating them into the ontology. Our
experiments show performance improvements in both tasks.
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