Skip to main content

Semantic Role Labelling without Deep Syntactic Parsing

  • Conference paper
Advances in Natural Language Processing (JapTAL 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7614))

Included in the following conference series:

Abstract

This article proposes a method of Semantic Role Labelling for languages with no reliable deep syntactic parser and with limited corpora annotated with semantic roles. Reasonable results may be achieved with the help of shallow parsing, provided that features used for training such shallow parsers include both lexical semantic information (here: hypernymy) and syntactic information.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abney, S.: Parsing by chunks. In: Berwick, R., Abney, S., Tenny, C. (eds.) Principle-Based Parsing, pp. 257–278. Kluwer (1991)

    Google Scholar 

  2. Fleischman, M., Kwon, N., Hovy, E.: Maximum entropy models for framenet classification. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2003)

    Google Scholar 

  3. Gildea, D., Jurafsky, D.: Automatic labeling of semantic roles. Computational Linguistics 28(3), 245–288 (2002)

    Article  Google Scholar 

  4. Głowińska, K.: Anotacja składniowa NKJP. In: Przepiórkowski, A., Bańko, M., Górski, R.L., Lewandowska-Tomaszczyk, B. (eds.) Narodowy Korpus Języka Polskiego. Wydawnictwo Naukowe PWN, Warsaw (2012)

    Google Scholar 

  5. Głowińska, K., Przepiórkowski, A.: The design of syntactic annotation levels in the National Corpus of Polish. In: Proceedings of the Seventh International Conference on Language Resources and Evaluation, LREC 2010. ELRA, Valletta (2010)

    Google Scholar 

  6. Hacioglu, K., Pradhan, S., Ward, W., Martin, J.H., Jurafsky, D.: Semantic Role Labeling by Tagging Syntactic Chunks. In: Proceedings of CoNLL 2004, pp. 110–113 (2004)

    Google Scholar 

  7. Johansson, R., Nugues, P.: A FrameNet-based semantic role labeler for Swedish. In: Proceedings of the COLING/ACL on Main Conference Poster Sessions, COLING-ACL 2006, pp. 436–443. Association for Computational Linguistics, Stroudsburg (2006)

    Chapter  Google Scholar 

  8. Johnson, C.R., Fillmore, C.J., Petruck, M.R., Baker, C.F., Ellsworth, M.J., Ruppenhofer, J., Wood, E.J.: FrameNet: Theory and Practice (2002)

    Google Scholar 

  9. Maziarz, M., Piasecki, M., Szpakowicz, S.: Approaching plWordNet 2.0. In: Proceedings of the 6th Global Wordnet Conference, Matsue, Japan (2012)

    Google Scholar 

  10. Mykowiecka, A., Marasek, K., Marciniak, M., Rabiega-Wiśniewska, J., Gubrynowicz, R.: Annotated Corpus of Polish Spoken Dialogues. In: Vetulani, Z., Uszkoreit, H. (eds.) LTC 2007. LNCS, vol. 5603, pp. 50–62. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  11. Palmer, M.: SemLink—linking PropBank, VerbNet, FrameNet and WordNet. In: Proceedings of the Generative Lexicon Conference, Pisa, Italy (2009)

    Google Scholar 

  12. Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., Duchesnay, E.: Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research 12, 2825–2830 (2011)

    Google Scholar 

  13. Piasecki, M., Szpakowicz, S., Broda, B.: A Wordnet from the Ground Up. Oficyna Wydawnicza Politechniki Wroclawskiej, Wrocław (2009)

    Google Scholar 

  14. Pradhan, S., Hacioglu, K., Krugler, V., Ward, W., Martin, J.H., Jurafsky, D.: Support vector learning for semantic argument classification. Machine Learning 60(1-3), 11–39 (2005)

    Article  Google Scholar 

  15. Punyakanok, V., Roth, D., Yih, W.T.: The importance of syntactic parsing and inference in semantic role labeling. Computational Linguistics 34(2), 257–287 (2008)

    Article  Google Scholar 

  16. Ramshaw, L.A., Marcus, M.P.: Text chunking using transformation-based learning. In: Proceedings of the Third Workshop on Very Large Corpora, pp. 82–94. ACL, Cambridge (1995)

    Google Scholar 

  17. Schuler, K.K.: VerbNet: A Broad-Coverage, Comprehensive Verb Lexicon. Ph.D. thesis, University of Pennsylvania (2006)

    Google Scholar 

  18. Sun, W., Sui, Z., Wang, M., Wang, X.: Chinese semantic role labeling with shallow parsing. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, EMNLP 2009, vol. 3, pp. 1475–1483. Association for Computational Linguistics, Stroudsburg (2009)

    Chapter  Google Scholar 

  19. Surdeanu, M., Harabagiu, S., Williams, J., Aarseth, P.: Using predicate-argument structures for information extraction. In: Proceedings of the 41st Annual Meeting on Association for Computational Linguistics, ACL 2003, vol. 1, pp. 8–15. Association for Computational Linguistics, Stroudsburg (2003)

    Chapter  Google Scholar 

  20. Toutanova, K., Haghighi, A., Manning, C.D.: A global joint model for semantic role labeling. Computational Linguistics 34(2), 161–191 (2008)

    Article  MathSciNet  Google Scholar 

  21. Xue, N.: Calibrating features for semantic role labeling. In: Proceedings of EMNLP 2004, pp. 88–94 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gołuchowski, K., Przepiórkowski, A. (2012). Semantic Role Labelling without Deep Syntactic Parsing. In: Isahara, H., Kanzaki, K. (eds) Advances in Natural Language Processing. JapTAL 2012. Lecture Notes in Computer Science(), vol 7614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33983-7_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33983-7_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33982-0

  • Online ISBN: 978-3-642-33983-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics