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Semantic annotation is fundamental to deal with large-scale lexicalinformation, mapping the information to an enumerable set of categories overwhich rules and algorithms can be applied, and foundational ontology classescan be used as a formal set of categories for such tasks. A previous alignmentbetween WordNet noun synsets and DOLCE provided a starting point forontology-based annotation, but in NLP tasks verbs are also of substantialimportance. This work presents an extension to the WordNet-DOLCE noun mapping,aligning verbs according to their links to nouns denoting perdurants,transferring to the verb the DOLCE class assigned to the noun that bestrepresents that verb's occurrence. To evaluate the usefulness of this resource,we implemented a foundational ontology-based semantic annotation framework,that assigns a high-level foundational category to each word or phrase in atext, and compared it to a similar annotation tool, obtaining an increase of9.05% in accuracy.

Word Tagging with Foundational Ontology Classes: Extending the WordNet-DOLCE Mapping to Verbs