  Progress on deep language understanding is inhibited by the lack of a broad
coverage lexicon that connects linguistic behavior to ontological concepts and
axioms. We have developed COLLIE-V, a deep lexical resource for verbs, with the
coverage of WordNet and syntactic and semantic details that meet or exceed
existing resources. Bootstrapping from a hand-built lexicon and ontology, new
ontological concepts and lexical entries, together with semantic role
preferences and entailment axioms, are automatically derived by combining
multiple constraints from parsing dictionary definitions and examples. We
evaluated the accuracy of the technique along a number of different dimensions
and were able to obtain high accuracy in deriving new concepts and lexical
entries. COLLIE-V is publicly available.
