Populating FrameNet with Chinese Verbs Mapping Bilingual Ontological WordNet with FrameNet

摘要

This paper describes the construction of a linguistic knowledge base using Frame Semantics, instantiated with Chinese Verbs imported from the Chinese-English Bilingual Ontological WordNet (BOW). The goal is to use this knowledge base to assist with semantic role labeling. This is accomplished through the mapping of FrameNet and WordNet and a novel verb selection restriction using both the WordNet inter-relations and the concept classification in the Suggested Upper Merged Ontology (SUMO). The FrameNet WordNet mapping provides a channel for Chinese verbs to interface with Frame Semantics. By taking the mappings between verbs and frames as learning data, we attempt to identify subsuming SUMO concepts for each frame and further identify more Chinese verbs on the basis of synset inter-relations in WordNet.