Lexical Resource Integration Across the Syntax-Semantics Interface

摘要

This paper examines extending a database of English verbs, grouped into syntactico-semantic classes, with WordNet senses. Probabilistic associations between theta-grids and WordNet verb frames, SEMCOR frequency data, and disambiguration based on an information-theoretic notion of semantic similarity are used. Mapping successes and failures are illustrated with drop.