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From Treebank to Propbank: A Semantic-Role and VerbNet Corpus for Danish

Eckhard Bick
Institute of Language and Communication, University of Southern Denmark, Denmark

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Ingår i: Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden

Linköping Electronic Conference Proceedings 131:23, s. 202-210

NEALT Proceedings Series 29:23, s. 202-210

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Publicerad: 2017-05-08

ISBN: 978-91-7685-601-7

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

This paper presents the first version of a Danish Propbank/VerbNet corpus, annotated at both the morphosyntactic, dependency and semantic levels. Both verbal and nominal predications were tagged with frames consisting of a VerbNet class and semantic role-labeled arguments and satellites. As a second semantic annotation layer, the corpus was tagged with both a noun ontology and NER classes. Drawing on mixed news, magazine, blog and forum data from DSL’s Korpus2010, the 87,000 token corpus contains over 12,000 frames with 32,000 semantic role instances. We discuss both technical and linguistic aspects of the annotation process, evaluate coverage and provide a statistical break-down of frames and roles for both the corpus as a whole and across different text types.

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