Mining of parsed data to derive deverbal argument structure
GEAF '09 Proceedings of the 2009 Workshop on Grammar Engineering Across Frameworks
Bridges from Language to Logic: Concepts, Contexts and Ontologies
Electronic Notes in Theoretical Computer Science (ENTCS)
Minimally supervised event causality identification
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Legal language and legal knowledge management applications
Semantic Processing of Legal Texts
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Deverbal nouns pose serious challenges for knowledge-representation systems. We present a method of canonicalizing deverbal noun representations, relying on a rich lexicon of verb subcategorization frames, the WordNet database, a large finite-state network for derivational morphology and a series of heuristics for mapping deverbal arguments onto the arguments of corresponding verbs.1