Héctor Martínez Alonso
University of Copenhagen, Denmark
Anders Johannsen
University of Copenhagen, Denmark
Sussi Olsen
University of Copenhagen, Denmark
Sanni Nimb
Danish Society of Language and Literature, Christians Brygge 1, Copenhagen, Denmark
Nicolai Hartvig Sørensen
Danish Society of Language and Literature, Christians Brygge 1, Copenhagen, Denmark
Anna Braasch
University of Copenhagen, Denmark
Anders Søgaard
University of Copenhagen, Denmark
Bolette Sandford Pedersen
University of Copenhagen, Denmark
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Published in: Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania
Linköping Electronic Conference Proceedings 109:6, p. 21-29
NEALT Proceedings Series 23:6, p. 21-29
We describe the creation of a new Danish resource for automated coarse-grained word sense disambiguation of running text (supersense tagging, SST). Based on corpus evidence we expand the sense inventory to incorporate new lexical classes. Also, we add additional tags for verbal satellites like collocates, particles and reflexive pronouns, to give account for the satellite-framing properties of Danish. Finally, we evaluate the quality of our expanded sense inventory in terms of variation in $F_1$ on a state-of-the-art SST system. The initial release is a 1,500-sentence corpus covering six genres , made available under an open-source license.
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