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2016 | OriginalPaper | Buchkapitel

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

verfasst von : Vivian S. Silva, André Freitas, Siegfried Handschuh

Erschienen in: Knowledge Engineering and Knowledge Management

Verlag: Springer International Publishing

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Abstract

Semantic annotation is fundamental to deal with large-scale lexical information, mapping the information to an enumerable set of categories over which rules and algorithms can be applied, and foundational ontology classes can be used as a formal set of categories for such tasks. A previous alignment between WordNet noun synsets and DOLCE provided a starting point for ontology-based annotation, but in NLP tasks verbs are also of substantial importance. 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 best represents 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 a text, and compared it to a similar annotation tool, obtaining an increase of 9.05 % in accuracy.

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Titel: Word Tagging with Foundational Ontology Classes: Extending the WordNet-DOLCE Mapping to Verbs
verfasst von: Vivian S. Silva
André Freitas
Siegfried Handschuh
Verlag: Springer International Publishing
Buch: Knowledge Engineering and Knowledge Management
Print ISBN: 978-3-319-49003-8

Electronic ISBN: 978-3-319-49004-5

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-49004-5_38

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