uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
Analyzing and Integrating Dependency Parsers
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
2011 (English)In: Computational linguistics - Association for Computational Linguistics (Print), ISSN 0891-2017, E-ISSN 1530-9312, Vol. 37, no 1, 197-230 p.Article in journal (Refereed) Published
Abstract [en]

There has been a rapid increase in the volume of research on data-driven dependency parsers in the past five years. This increase has been driven by the availability of treebanks in a wide variety of languages-due in large part to the CoNLL shared tasks-as well as the straightforward mechanisms by which dependency theories of syntax can encode complex phenomena in free word order languages. In this article, our aim is to take a step back and analyze the progress that has been made through an analysis of the two predominant paradigms for data-driven dependency parsing, which are often called graph-based and transition-based dependency parsing. Our analysis covers both theoretical and empirical aspects and sheds light on the kinds of errors each type of parser makes and how they relate to theoretical expectations. Using these observations, we present an integrated system based on a stacking learning framework and show that such a system can learn to overcome the shortcomings of each non-integrated system.

Place, publisher, year, edition, pages
2011. Vol. 37, no 1, 197-230 p.
National Category
Language Technology (Computational Linguistics)
URN: urn:nbn:se:uu:diva-152911ISI: 000288314500007OAI: oai:DiVA.org:uu-152911DiVA: diva2:414447
Available from: 2011-05-03 Created: 2011-05-03 Last updated: 2011-05-03Bibliographically approved

Open Access in DiVA

No full text

By organisation
Department of Linguistics and Philology
In the same journal
Computational linguistics - Association for Computational Linguistics (Print)
Language Technology (Computational Linguistics)

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 195 hits
ReferencesLink to record
Permanent link

Direct link