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Pseudo-projective dependency parsing

Published:25 June 2005Publication History

ABSTRACT

In order to realize the full potential of dependency-based syntactic parsing, it is desirable to allow non-projective dependency structures. We show how a data-driven deterministic dependency parser, in itself restricted to projective structures, can be combined with graph transformation techniques to produce non-projective structures. Experiments using data from the Prague Dependency Treebank show that the combined system can handle non-projective constructions with a precision sufficient to yield a significant improvement in overall parsing accuracy. This leads to the best reported performance for robust non-projective parsing of Czech.

References

  1. Cahill, A., Burke, M., O'Donovan, R., Van Genabith, J. and Way, A. 2004. Long-distance dependency resolution in automatically acquired wide-coverage PCFG-based LFG approximations. In Proceedings of ACL. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Campbell, R. 2004. Using linguistic principles to recover empty categories. In Proceedings of ACL. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Charniak, E. 2000. A maximum-entropy-inspired parser, In Proceedings of NAACL. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Collins, M., Hajič, J., Brill, E., Ramshaw, L. and Tillmann, C. 1999. A statistical parser for Czech. In Proceedings of ACL. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Collins, M. 1999. Head-Driven Statistical Models for Natural Language Parsing. Ph.D. thesis, University of Pennsylvania. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Covington, M. A. 1990. Parsing discontinuous constituents in dependency grammar. Computational Linguistics, 16:234--236. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Daelemans, W., Zavrel, J., van der Sloot, K. and van den Bosch, A. 2003. TiMBL: Tilburg Memory Based Learner, version 5.0, Reference Guide. Technical Report ILK 03-10, Tilburg University, ILK.Google ScholarGoogle Scholar
  8. Dienes, P. and Dubey, A. 2003. Deep syntactic processing by combining shallow methods. In Proceedings of ACL. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Duchier, D. and Debusmann, R. 2001. Topological dependency trees: A constraint-based account of linear precedence. In Proceedings of ACL. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Eisner, J. M. 1996. Three new probabilistic models for dependency parsing: An exploration. In Proceedings of COLING. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Foth, K., Daum, M. and Menzel, W. 2004. A broad-coverage parser for German based on defeasible constraints. In Proceedings of KONVENS.Google ScholarGoogle Scholar
  12. Hajič, J., Krbec, P., Oliva, K., Kveton, P. and Petkevic, V. 2001. Serial combination of rules and statistics: A case study in Czech tagging. In Proceedings of ACL. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Hajič, J., Vidova Hladka, B., Panevová, J., Hajičová, E., Sgall, P. and Pajas, P. 2001. Prague Dependency Treebank 1.0. LDC, 2001T10.Google ScholarGoogle Scholar
  14. Hajič, J. 1998. Building a syntactically annotated corpus: The Prague Dependency Treebank. In Issues of Valency and Meaning, pages 106--132. Karolinum.Google ScholarGoogle Scholar
  15. Hellwig, P. 2003. Dependency unification grammar. In Dependency and Valency, pages 593--635. Walter de Gruyter. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Holan, T., Kuboň, V. and Plátek, M. 2001. Word-order relaxations and restrictions within a dependency grammar. In Proceedings of IWPT.Google ScholarGoogle Scholar
  17. Holan, T. 2004. Tvorba zavislostniho syntaktickeho analyzatoru. In Proceedings of MIS'2004.Google ScholarGoogle Scholar
  18. Jijkoun, V. and de Rijke, M. 2004. Enriching the output of a parser using memory-based learning. In Proceedings of ACL. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Johnson, M. 2002. A simple pattern-matching algorithm for recovering empty nodes and their antecedents. In Proceedings of ACL. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Kahane, S., Nasr, A. and Rambow, O. 1998. Pseudo-projectivity: A polynomially parsable non-projective dependency grammar. In Proceedings of ACL-COLING. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Kromann, M. T. 2003. The Danish Dependency Treebank and the DTAG treebank tool. In Proceedings of TLT 2003.Google ScholarGoogle Scholar
  22. Levy, R. and Manning, C. 2004. Deep dependencies from context-free statistical parsers: Correcting the surface dependency approximation. In Proceedings of ACL. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Mel'čuk, I. 1988. Dependency Syntax: Theory and Practice. State University of New York Press.Google ScholarGoogle Scholar
  24. Nivre, J. and Scholz, M. 2004. Deterministic dependency parsing of English text. In Proceedings of COLING. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Nivre, J., Hall, J. and Nilsson, J. 2004. Memory-based dependency parsing. In Proceedings of CoNLL.Google ScholarGoogle Scholar
  26. Nivre, J. 2003. An efficient algorithm for projective dependency parsing. In Proceedings of IWPT.Google ScholarGoogle Scholar
  27. Oflazer, K., Say, B., Hakkani-Tür, D. Z. and Tür, G. 2003. Building a Turkish treebank. In Treebanks: Building and Using Parsed Corpora, pages 261--277. Kluwer Academic Publishers.Google ScholarGoogle Scholar
  28. Oflazer, K. 2003. Dependency parsing with an extended finite-state approach. Computational Linguistics, 29:515--544. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Sleator, D. and Temperley, D. 1993. Parsing English with a link grammar. In Proceedings of IWPT.Google ScholarGoogle Scholar
  30. Tapanainen, P. and Järvinen, T. 1997. A non-projective dependency parser. In Proceedings of ANLP. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Wang, W. and Harper, M. P. 2004. A statistical constraint dependency grammar (CDG) parser. In Proceedings of the Workshop in Incremental Parsing (ACL). Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Yamada, H. and Matsumoto, Y. 2003. Statistical dependency analysis with support vector machines. In Proceedings of IWPT.Google ScholarGoogle Scholar
  1. Pseudo-projective dependency parsing

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        • Published in

          cover image DL Hosted proceedings
          ACL '05: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
          June 2005
          657 pages
          • General Chair:
          • Kevin Knight

          Publisher

          Association for Computational Linguistics

          United States

          Publication History

          • Published: 25 June 2005

          Qualifiers

          • Article

          Acceptance Rates

          ACL '05 Paper Acceptance Rate77of423submissions,18%Overall Acceptance Rate85of443submissions,19%

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