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Overview of the SPMRL 2013 shared task: cross-framework evaluation of parsing morphologically rich languages

Seddah, Djamé, Tsarfaty, Reut, Kübler, Sandra, Candito, Marie, Choi, Jinho, Farkas, Richard, Foster, Jennifer orcid logoORCID: 0000-0002-7789-4853, Goenaga, Iakes, Gojenola, Koldo, Goldberg, Yoav, Green, Spence, Habash, Nizar, Kuhlmann, Marco, Maier, Wolfgang, Nivre, Joakim, Przepiórkowski, Adam, Roth, Ryan, Seeker, Wolfgang, Versley, Yannick, Vincze, Veronika, Wolinski, Marcin, Wróblewska, Alina and Villemonte de la Clérgerie, Eric (2013) Overview of the SPMRL 2013 shared task: cross-framework evaluation of parsing morphologically rich languages. In: Fourth Workshop on Statistical Parsing of Morphologically Rich Languages, 18 Oct 2013, Seattle, WA..

Abstract
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.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Subjects:Computer Science > Computational linguistics
Computer Science > Machine learning
Humanities > Language
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Proceedings of SPMRL. . Association for Computational Linguistics.
Publisher:Association for Computational Linguistics
Official URL:http://aclweb.org/anthology//W/W13/#4900
Copyright Information:© 2013 ACL
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:19958
Deposited On:21 May 2014 11:08 by Jennifer Foster . Last Modified 22 Jul 2020 13:52
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