Skip to main content

Domain Adaptation for Dependency Parsing at Evalita 2011

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7689))

Abstract

The domain adaptation task was aimed at investigating techniques for adapting state–of–the–art dependency parsing systems to new domains. Both the language dealt with, i.e. Italian, and the target domain, namely the legal domain, represent two main novelties of the task organised at Evalita 2011 with respect to previous domain adaptation initiatives. In this paper, we define the task and describe how the datasets were created from different resources. In addition, we characterize the different approaches of the participating systems, report the test results, and provide a first analysis of these results.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Attardi, G.: Experiments with a multilanguage non-projective dependency parser. In: Proceedings of the Shared task CoNLL-X, New York City, pp. 166–170 (2006)

    Google Scholar 

  2. Attardi, G., Dell’Orletta, F.: Reverse revision and linear tree combination for dependency parsing. In: Proceedings of NAACL-HLT (2009)

    Google Scholar 

  3. Attardi, G., Dell’Orletta, F., Simi, M., Turian, J.: Accurate Dependency Parsing with a Stacked Multilayer Perceptron. In: Proceedings of Evalita 2009 (2009)

    Google Scholar 

  4. Attardi, G., Simi, M., Zanelli, A.: Domain Adaptation by Active Learning. In: Magnini, B., Cutugno, F., Falcone, M., Pianta, E. (eds.) EVALITA 2012. LNCS(LNAI), vol. 7689, pp. 77–85. Springer, Heidelberg (2012)

    Google Scholar 

  5. Biber, D., Conrad, S., Reppen, R.: Corpus linguistics. Investigating Language Structure and Use. Cambridge University Press (1998)

    Google Scholar 

  6. Bonin, F., Dell’Orletta, F., Venturi, G., Montemagni, S.: Singling out Legal Knowledge from World Knowledge. In: Proceedings of the IV Workshop on Legal Ontologies and Artificial Intelligence Techniques (LOAIT 2010), Fiesole, 7 luglio (2010)

    Google Scholar 

  7. Bosco, C., Montemagni, S., Mazzei, A., Lombardo, V., Dell’Orletta, F., Lenci, A.: Evalita 2009 Parsing Task: comparing dependency parsers and treebanks. In: Proceedings of Evalita 2009, Reggio Emilia (2009)

    Google Scholar 

  8. Bosco, C., Mazzei, A.: The EVALITA Dependency Parsing Task: From 2007 to 2011. In: Magnini, B., Cutugno, F., Falcone, M., Pianta, E. (eds.) EVALITA 2012. LNCS(LNAI), vol. 7689, pp. 1–12. Springer, Heidelberg (2012)

    Google Scholar 

  9. Proceedings of the Workshop on Domain Adaptation for Natural Language Processing (2010), http://aclweb.org/anthology/W/W10/W10-2600.pdf

  10. Dell’Orletta, F., Montemagni, S., Venturi, G.: READ–IT: Assessing Readability of Italian Texts with a View to Text Simplification. In: Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies, Edinburgh, Scotland, UK, pp. 73–83 (2011)

    Google Scholar 

  11. Frazier, L.: Syntactic complexity. In: Dowty, D.R., Karttunen, L., Zwicky, A.M. (eds.) Natural Language Parsing. Cambridge University Press (1985)

    Google Scholar 

  12. Gibson, E.: Linguistic complexity: Locality of syntactic dependencies. Cognition 68(1), 1–76 (1998)

    Article  Google Scholar 

  13. Lease, M., Charniak, E.: Parsing biomedical literature. In: Proceedings of the Second International Joint Conference on Natural Language Processing (IJCNLP 2005), pp. 58–69 (2005)

    Google Scholar 

  14. Lin, D.: On the structural complexity of natural language sentences. In: Proceedings of COLING 1996, pp. 729–733 (1996)

    Google Scholar 

  15. McClosky, D.: Any Domain Parsing: Automatic Domain Adaptation for Natural Language Parsing. Ph.D. thesis, Brown University (2010)

    Google Scholar 

  16. McDonald, R., Crammer, K., Pereira, F.: Online large-margin training of dependency parsers. In: Proceedings of ACL (2005)

    Google Scholar 

  17. McDonald, R., Lerman, K., Pereira, F.: Multilingual Dependency Analysis with a Two-Stage Discriminative Parser. In: Proceedings of CoNLL, New York City (2006)

    Google Scholar 

  18. McDonald, R., Nivre, J.: Characterizing the Errors of Data-Driven Dependency Parsing Models. In: Proceedings of EMNLP–CoNLL, pp. 122-131 (2007)

    Google Scholar 

  19. Nivre, J., Hall, J., Kübler, S., McDonald, R., Nilsson, J., Riedel, S., Yuret, D.: The CoNLL 2007 Shared Task on Dependency Parsing. In: Proceedings of the EMNLP-CoNLL, pp. 915–932 (2007)

    Google Scholar 

  20. Plank, B., van Noord, G.: Effective Measures of Domain Similarity for Parsing. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, Portland, Oregon, June 19-24, pp. 1566–1576 (2011)

    Google Scholar 

  21. Plank, B., Søgaard, A.: Experiments in Newswire-to-Law Adaptation of Graph-Based Dependency Parsers. In: Magnini, B., Cutugno, F., Falcone, M., Pianta, E. (eds.) EVALITA 2012. LNCS(LNAI), vol. 7689, pp. 70–76. Springer, Heidelberg (2012)

    Google Scholar 

  22. Sagae, K., Tsujii, J.: Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles. In: Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL, Prague, pp. 1044–1050 (2007)

    Google Scholar 

  23. Venturi, G.: Lingua e diritto: una prospettiva linguistico–computazionale. Ph.D. Thesis, Università di Torino (2011)

    Google Scholar 

  24. Yngve, V. H.A.: A model and an hypothesis for language structure. In: Proceedings of the American Philosophical Society, pp. 444–466 (1960)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dell’Orletta, F., Marchi, S., Montemagni, S., Venturi, G., Agnoloni, T., Francesconi, E. (2013). Domain Adaptation for Dependency Parsing at Evalita 2011. In: Magnini, B., Cutugno, F., Falcone, M., Pianta, E. (eds) Evaluation of Natural Language and Speech Tools for Italian. EVALITA 2012. Lecture Notes in Computer Science(), vol 7689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35828-9_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35828-9_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35827-2

  • Online ISBN: 978-3-642-35828-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics