Article | Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 22 May, Gothenburg Sweden | Universal Dependency Evaluation
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Title:
Universal Dependency Evaluation
Author:
Joakim Nivre: Department of Linguistics and Philology, Uppsala University, Sweden Chiao-Ting Fang: Department of Linguistics and Philology, Uppsala University, Sweden
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the NoDaLiDa 2017 Workshop on Universal Dependencies, 22 May, Gothenburg Sweden
Issue:
135
Article no.:
011
Pages:
86-95
No. of pages:
10
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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Multilingual parser evaluation has for a long time been hampered by the lack of cross-linguistically consistent annotation. While initiatives like Universal Dependencies have greatly improved the situation, they have also raised questions about the adequacy of existing parser evaluation metrics when applied across typologically different languages. This paper argues that the usual attachment score metrics used to evaluate dependency parsers are biased in favor of analytic languages, where grammatical structure tends to be encoded in free morphemes (function words) rather than in bound morphemes (inflection). We therefore propose an alternative evaluation metric that excludes functional relations from the attachment score. We explore the effect of this change in experiments using a subset of treebanks from release v2.0 of Universal Dependencies.

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

Author:
Joakim Nivre, Chiao-Ting Fang
Title:
Universal Dependency Evaluation
References:

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

Author:
Joakim Nivre, Chiao-Ting Fang
Title:
Universal Dependency Evaluation
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Last updated: 2017-02-21