Conference article

A case study on supervised classification of Swedish pseudo-coordination

Malin Ahlberg
Språkbanken, Department of Swedish, University of Gothenburg, Sweden

Peter Andersson
Språkbanken, Department of Swedish, University of Gothenburg, Sweden

Markus Forsberg
Språkbanken, Department of Swedish, University of Gothenburg, Sweden

Nina Tahmasebi
Språkbanken, Department of Swedish, University of Gothenburg, Sweden

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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 109:5, s. 11-19

NEALT Proceedings Series 23:5, s. 11-19

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Published: 2015-05-06

ISBN: 978-91-7519-098-3

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

Abstract

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.

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