The CoNLL 2007 shared task on dependency parsing

  • The Conference on Computational Natural Language Learning features a shared task, in which participants train and test their learning systems on the same data sets. In 2007, as in 2006, the shared task has been devoted to dependency parsing, this year with both a multilingual track and a domain adaptation track. In this paper, we define the tasks of the different tracks and describe how the data sets were created from existing treebanks for ten languages. In addition, we characterize the different approaches of the participating systems, report the test results, and provide a first analysis of these results.
Metadaten
Author:Joakim Nivre, Johan Hall, Sandra KüblerORCiDGND, Ryan McDonald, Jens Nilsson, Sebastian Riedel, Deniz Yuret
URN:urn:nbn:de:hebis:30-1111251
URL:http://cl.indiana.edu/~skuebler/papers/sharedtask.pdf
Parent Title (English):Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Publisher:Association for Computational Linguistics
Place of publication:Stroudsburg, PA
Document Type:Part of a Book
Language:English
Year of Completion:2007
Year of first Publication:2007
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2008/11/03
Page Number:18
First Page:915
Last Page:932
Source:http://jones.ling.indiana.edu/~skuebler/papers/sharedtask.pdf ; Proceedings of the CoNLL 2007 Shared Task. Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2007) - Prague, Czech
HeBIS-PPN:206930356
Institutes:keine Angabe Fachbereich / Extern
Dewey Decimal Classification:4 Sprache / 40 Sprache / 400 Sprache
Sammlungen:Linguistik
Linguistik-Klassifikation:Linguistik-Klassifikation: Computerlinguistik / Computational linguistics
Licence (German):License LogoDeutsches Urheberrecht