A case study on supervised classification of Swedish pseudo-coordination

A case study on supervised classification of Swedish pseudo-coordination

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.

Publication
In roceedings of the 20th Nordic Conference of Computational Linguistics, NoDaLiDa 2015
Date
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