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Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages

Authors :
Seddah, Djamé
Tsarfaty, Reut
Kübler, Sandra
Candito, Marie
Choi, Jinho D.
Farkas, Richárd
Foster, Jennifer
Goenaga, Iakes
Gojenola Galletebeitia, Koldo
Goldberg, Yoav
Green, Spence
Habash, Nizar
Kuhlmann, Marco
Maier, Wolfgang
Nivre, Joakim
Przepiórkowski, Adam
Roth, Ryan
Seeker, Wolfgang
Versley, Yannick
Vincze, Veronika
Wolińsk, Marcin
Wróblewska, Alina
Villemonte de La Clergerie, Éric
Analyse Linguistique Profonde à Grande Echelle
Large-scale deep linguistic processing (ALPAGE)
Inria Paris-Rocquencourt
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Paris Diderot - Paris 7 (UPD7)
Faculty of Mathematics and Computer Science
Weizmann Institute of Science [Rehovot, Israël]
Computational Linguistics
Department of Linguistics (DL)
Indiana University [Bloomington]
Indiana University System-Indiana University System-Indiana University [Bloomington]
Indiana University System-Indiana University System
IPSOFT (Ipsoft)
University of Massachusetts [Amherst] (UMass Amherst)
University of Massachusetts System (UMASS)-University of Massachusetts System (UMASS)
Department of Computer Algorithms and Artificial Intelligence.
University of Szeged [Szeged]
National Centre for Language Technology (NCLT)
Dublin City University [Dublin] (DCU)
Computer Languages and Systems
University of the Basque Country [Bizkaia] (UPV/EHU)
Department of Computer Science
Bar-Ilan University [Israël]
Stanford NLP Group
Stanford University
Center for Computational Learning Systems (CCLS)
Columbia University [New York]
Computational Linguistics and Language Technology
Uppsala University
Abteilung für Computerlinguistik [Düsseldorf ]
Philosophische Fakultät [Düsseldorf]
Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf]-Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf]-Instituts für Sprache und Information [Düsseldorf]
Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf]
Institute of Computer Science [Warszawa]
Polska Akademia Nauk = Polish Academy of Sciences (PAN)
Institut für Maschinelle Sprachverarbeitung
Universität Stuttgart [Stuttgart]
Institute for Computational Linguistics
Universität Heidelberg [Heidelberg]
Université Paris Diderot - Paris 7 (UPD7)-Inria Paris-Rocquencourt
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
University of the Basque Country/Euskal Herriko Unibertsitatea (UPV/EHU)
Universität Heidelberg [Heidelberg] = Heidelberg University
Source :
Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages, Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages, Oct 2013, Seattle, Washington, United States. pp.146--182
Publication Year :
2013
Publisher :
HAL CCSD, 2013.

Abstract

International audience; This paper reports on the first shared task on statistical parsing of morphologically rich lan- guages (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 eval- uation metrics for parsing MRLs given dif- ferent 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.

Details

Language :
English
Database :
OpenAIRE
Journal :
Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages, Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages, Oct 2013, Seattle, Washington, United States. pp.146--182
Accession number :
edsair.dedup.wf.001..8289b7ef2a9d04cfd6cee86204b41b31