Article | Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 22 May, Gothenburg Sweden | Empirically Sampling Universal Dependencies
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Title:
Empirically Sampling Universal Dependencies
Author:
Natalie Schluter: IT University of Copenhagen, Denmark ŇĹeljko Agic: IT University of Copenhagen, Denmark
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 22 May, Gothenburg Sweden
Issue:
135
Article no.:
015
Pages:
117-122
No. of pages:
6
Publication type:
Abstract and Fulltext
Published:
2017-05-29
ISBN:
978-91-7685-501-0
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Universal Dependencies incur a high cost in computation for unbiased system development. We propose a 100% empirically chosen small subset of UD languages for efficient parsing system development. The technique used is based on measurements of model capacity globally. We show that the diversity of the resulting representative language set is superior to the requirements-based procedure.

Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 22 May, Gothenburg Sweden

Author:
Natalie Schluter, ŇĹeljko Agic
Title:
Empirically Sampling Universal Dependencies
References:

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Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 22 May, Gothenburg Sweden

Author:
Natalie Schluter, ŇĹeljko Agic
Title:
Empirically Sampling Universal Dependencies
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Last updated: 2017-02-21