A case study on supervised classification of Swedish pseudo-coordination
Journal article, 2015

We present a case study on supervised classification of Swedish pseudo-coordination (SPC). The classification is attempted on the type-level with data collected from two data sets: a blog corpus and a fiction corpus. Two small experiments were designed to evaluate the feasability of this task. The first experiment explored a classifier’s ability to discriminate pseudo-coordinations from ordinary verb coordinations, given a small labeled data set created during the experiment. The second experiment evaluated how well the classifier performed at detecting and ranking SPCs in a set of unlabeled verb coordinations, to investigate if it could be used as a semi-automatic discovery procedure to find new SPCs.






Malin Ahlberg

University of Gothenburg

Peter Andersson

University of Gothenburg

Markus Forsberg

University of Gothenburg

Nina Tahmasebi

University of Gothenburg

Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania


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Language Technology (Computational Linguistics)

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