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Dependency Parsing by Transformation and Combination
Växjö University.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Computational linguistics)
2008 (English)In: Advances in Natural Language Processing: 6th International Conference, GoTAL 2008, Berlin / Heidelberg: Springer , 2008, 348-359 p.Conference paper (Refereed)
Abstract [en]

This study presents new language and treebank independent graph transformations that improve accuracy in data-driven dependency parsing. We show that individual generic graph transformations can increase accuracy across treebanks, but especially when they are combined using established parser combination techniques. The combination experiments also indicate that the presumed best way to combine parsers, using the highest scoring parsers, is not necessarily the best approach.

Place, publisher, year, edition, pages
Berlin / Heidelberg: Springer , 2008. 348-359 p.
, Lecture Notes in Artificial Intelligence, ISSN 0302-9743 ; 5221
National Category
Language Technology (Computational Linguistics) Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
URN: urn:nbn:se:uu:diva-87666DOI: 10.1007/978-3-540-85287-2_33ISBN: 978-3-540-85286-5OAI: oai:DiVA.org:uu-87666DiVA: diva2:132998
Available from: 2009-01-07 Created: 2009-01-07 Last updated: 2011-07-04Bibliographically approved

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Nivre, Joakim
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