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Training a Swedish Constituency Parser on Six Incompatible Treebanks

Conference paper
Authors Richard Johansson
Yvonne Adesam
Published in Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020)
Publisher European Language Resources Association (ELRA)
Publication year 2020
Published at Department of Swedish
Department of Computer Science and Engineering (GU)
Language en
Links www.lrec-conf.org/proceedings/lrec2...
Keywords parsing, Swedish, syntax, neural networks
Subject categories Swedish language, Computational linguistics, Language Technology (Computational Linguistics)

Abstract

We investigate a transition-based parser that usesEukalyptus, a function-tagged constituent treebank for Swedish which includesdiscontinuous constituents. In addition, we show that the accuracy of this parser can be improved by using a multitask learning architecture that makes it possible to train the parser on additional treebanks that use other annotation models.

Page Manager: Webmaster|Last update: 9/11/2012
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