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Dependency Relations Labeller for Czech

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7499))

Abstract

We present a MIRA-based labeller designed to assign dependency relation labels to edges in a dependency parse tree, tuned for Czech language. The labeller was created to be used as a second stage to unlabelled dependency parsers but can also improve output from labelled dependency parsers. We evaluate two existing techniques which can be used for labelling and experiment with combining them together. We describe the feature set used. Our final setup significantly outperforms the best results from the CoNLL 2009 shared task.

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References

  1. McDonald, R., Crammer, K., Pereira, F.: Online large-margin training of dependency parsers. In: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, pp. 91–98. Association for Computational Linguistics (2005)

    Google Scholar 

  2. Nivre, J., Hall, J., Nilsson, J.: Maltparser: A data-driven parser-generator for dependency parsing. In: Proceedings of LREC, vol. 6, pp. 2216–2219 (2006)

    Google Scholar 

  3. McDonald, R., Lerman, K., Pereira, F.: Multilingual dependency analysis with a two-stage discriminative parser. In: Proceedings of the Tenth Conference on Computational Natural Language Learning, CoNLL-X 2006, pp. 216–220. Association for Computational Linguistics, Stroudsburg (2006)

    Chapter  Google Scholar 

  4. Rosenfeld, B., Feldman, R., Fresko, M.: A systematic cross-comparison of sequence classifiers. In: SDM, pp. 563–567 (2006)

    Google Scholar 

  5. Crammer, K., Singer, Y.: Ultraconservative online algorithms for multiclass problems. The Journal of Machine Learning Research 3, 951–991 (2003)

    MathSciNet  MATH  Google Scholar 

  6. McDonald, R., Pereira, F.: Online learning of approximate dependency parsing algorithms. In: Proceedings of EACL, vol. 6, pp. 81–88 (2006)

    Google Scholar 

  7. Carreras, X.: Experiments with a higher-order projective dependency parser. In: Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL, vol. 7, pp. 957–961 (2007)

    Google Scholar 

  8. Collins, M., Ramshaw, L., Hajič, J., Tillmann, C.: A statistical parser for Czech. In: Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics on Computational Linguistics, ACL 1999, pp. 505–512. Association for Computational Linguistics, Stroudsburg (1999)

    Google Scholar 

  9. Hajič, J., Hajičová, E., Panevová, J., Sgall, P., Pajas, P., Štěpánek, J., Havelka, J., Mikulová, M.: Prague Dependency Treebank 2.0. CD-ROM, Linguistic Data Consortium, LDC Catalog No.: LDC2006T0 1, Philadelphia (2006)

    Google Scholar 

  10. Hajič, J., Ciaramita, M., Johansson, R., Kawahara, D., Martí, M., Màrquez, L., Meyers, A., Nivre, J., Padó, S., Štěpánek, J., et al.: The CoNLL 2009 shared task: Syntactic and semantic dependencies in multiple languages. In: Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task, pp. 1–18. Association for Computational Linguistics (2009)

    Google Scholar 

  11. Chen, W., Zhang, Y., Isahara, H.: A two-stage parser for multilingual dependency parsing. In: Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL, pp. 1129–1133 (2007)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Rosa, R., Mareček, D. (2012). Dependency Relations Labeller for Czech. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2012. Lecture Notes in Computer Science(), vol 7499. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32790-2_31

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  • DOI: https://doi.org/10.1007/978-3-642-32790-2_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32789-6

  • Online ISBN: 978-3-642-32790-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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