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Labeled Pseudo-Projective Dependency Parsing with Support Vector Machines
School of Mathematics and Systems Engineering, Vaxjö University, Sweden.
School of Mathematics and Systems Engineering, Vaxjö University, Sweden.
School of Mathematics and Systems Engineering, Vaxjö University, Sweden.
Department of Computer Engineering, Istanbul Technical University, Turkey.
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2006 (English)In: Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X) / [ed] Lluís Màrquez, Dan Klein, 2006, p. 221-225Conference paper, Published paper (Other academic)
Abstract [en]

We use SVMclassifiers to predict the next action of a deterministic parser that builds labeled projective dependency graphs in an incremental fashion. Non-projective dependencies are captured indirectly by projectivizing the training data for the classifiers and applying an inverse transformation to the output of the parser. We present evaluation results and an error analysis focusing on Swedish and Turkish.

Place, publisher, year, edition, pages
2006. p. 221-225
Identifiers
URN: urn:nbn:se:his:diva-1927Scopus ID: 2-s2.0-84862271629OAI: oai:DiVA.org:his-1927DiVA, id: diva2:32203
Conference
10th Conference on Computational Natural Language Learning, CoNLL-X, New York, NY, 8 June 2006 through 9 June 2006
Available from: 2007-09-21 Created: 2007-09-21 Last updated: 2020-06-10Bibliographically approved

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Marinov, Svetoslav

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