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Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages
U. Paris-Sorbonne/INRIA.
Weizman Institute.
Indiana U..
U. Paris-Diderot/INRIA.
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2013 (English)In: Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically Rich Languages, Association for Computational Linguistics, 2013, 146-182 p.Conference paper (Other academic)
Abstract [en]

This paper reports on the first shared task on statistical parsing of morphologically rich languages (MRLs). The task features data sets from nine languages, each available both in constituency and dependency annotation. We report on the preparation of the data sets, on the proposed parsing scenarios, and on the evaluation metrics for parsing MRLs given different representation types. We present and analyze parsing results obtained by the task participants, and then provide an analysis and comparison of the parsers across languages and frameworks, reported for gold input as well as more realistic parsing scenarios.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2013. 146-182 p.
National Category
Language Technology (Computational Linguistics)
URN: urn:nbn:se:liu:diva-114374ISBN: 978-1-937284-97-8OAI: diva2:789585
Fourth Workshop on Statistical Parsing of Morphologically Rich Languages
Available from: 2015-02-19 Created: 2015-02-19 Last updated: 2015-02-26Bibliographically approved

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Kuhlmann, Marco
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Human-Centered systemsThe Institute of Technology
Language Technology (Computational Linguistics)

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ReferencesLink to record
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