Skip to main content
SpringerLink
Log in

Investigating the Semantics of Frame Elements

  • Conference paper
Knowledge Engineering and Knowledge Management (EKAW 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7603))

Abstract

Compared to other existing semantic role repositories, FrameNet is characterized by an extremely high number of roles or Frame Elements (FEs), which amount to 8,884 in the last resource release. This represents an interesting issue to investigate both from a theoretical and a practical point of view. In this paper, we analyze the semantics of frame elements by automatically assigning them a set of synsets characterizing the typical FE fillers. We show that the synset repository created for each FE can adequately generalize over the fillers, while providing more informative sense labels than just one generic semantic type. We also evaluate the impact of the enriched FE information on a semantic role labeling task, showing that it can improve classification precision, though at the cost of lower recall.

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

Access this chapter

Log in via an institution
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. Abe, N., Li, H.: Learning word association norms using tree cut pair models. In: Proceedings of the 10th International Conference on Machine Learning, Bari, Italy, pp. 3–11 (1996)

    Google Scholar 

  2. Basili, R., Croce, D., De Cao, D., Giannone, C.: Learning Semantic Roles for Ontology Patterns. In: Proceedings of the Workshop on Natural Language Processing and Ontology Engineering (NLPOE 2009), Held in Conjunction with the Conference on Web Intelligence (WI/IAT 2009), Milan, Italy (2009)

    Google Scholar 

  3. Bentivogli, L., Forner, P., Giuliano, C., Marchetti, A., Pianta, E., Tymoshenko, K.: Extending English ACE 2005 Corpus Annotation with Ground-truth Links to Wikipedia. In: 23rd International Conference on Computational Linguistics, pp. 19–26 (2010)

    Google Scholar 

  4. Bergsma, S., Lin, D., Goebel, R.: Discriminative learning of selectional preferences from unlabeled text. In: Proceedings of the 13th Conference on Empirical Methods in Natural Language Processing, Honolulu, HI, US, pp. 59–68 (2008)

    Google Scholar 

  5. Bryl, V., Tonelli, S., Giuliano, C., Serafini, L.: A Novel FrameNet-based Resource for the Semantic Web. In: Proceedings of ACM Symposium on Appliced Computing, Technical Track on The Semantic Web and Applications (2012)

    Google Scholar 

  6. Budanitsky, A., Hirst, G.: Evaluating WordNet-based Measures of Lexical Semantic Relatedness. Computational Linguistics 31(1), 13–48 (2006)

    Article  Google Scholar 

  7. Ciaramita, M., Johnson, M.: Explaining away ambiguity: Learning verb selectional preference with Bayesian networks. In: Proceedings of the 18th International Conference on Computational Linguistics (COLING), Saarbrücken, Germany, pp. 187–193 (2000)

    Google Scholar 

  8. Clark, S., Weir, D.: Class-based probability estimation using a semantic hierarchy. In: Proceedings of the 2nd Annual Meeting of the North American Chapter of the Association for Computational Linguistics, Pittsburgh, PA, US, pp. 95–102 (2001)

    Google Scholar 

  9. Coppola, B., Gangemi, A., Gliozzo, A., Picca, D., Presutti, V.: Frame Detection over the Semantic Web. In: Aroyo, L., Traverso, P., Ciravegna, F., Cimiano, P., Heath, T., Hyvönen, E., Mizoguchi, R., Oren, E., Sabou, M., Simperl, E. (eds.) ESWC 2009. LNCS, vol. 5554, pp. 126–142. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  10. Das, D., Schneider, N., Chen, D., Smith, N.A.: Probabilistic frame-semantic parsing. In: Proceedings of the North American Chapter of the Association for Computational Linguistics Human Language Technologies Conference, Los Angeles, CA, USA (2010)

    Google Scholar 

  11. De Cao, D., Croce, D., Pennacchiotti, M., Basili, R.: Combining Word Sense and Usage for modeling Frame Semantics. In: Proceedings of STEP 2008, Venice, Italy (2008)

    Google Scholar 

  12. Erk, K.: A simple, similarity-based model for selectional preferences. In: Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL 2007), Prague, Czech Republic, pp. 216–223 (2007)

    Google Scholar 

  13. Erk, K., Padó, S., Padó, U.: A flexible, corpus-driven model of regular and inverse selectional preferences. Computational Linguistics 36(4), 723–763 (2010)

    Article  Google Scholar 

  14. Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database. MIT Press (1998)

    Google Scholar 

  15. Fillmore, C.J.: The Case for Case. In: Bach, E., Harms, R.T. (eds.) Universals in Linguistic Theory, pp. 1–88. Holt, Reinhart and Winston, New York (1968)

    Google Scholar 

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

    Article  Google Scholar 

  17. Hirst, G.: Semantic Interpretation and the Resolution of Ambiguity. Cambridge University Press (1987)

    Google Scholar 

  18. Jiang, J.J., Conrath, D.W.: Semantic similarity based on corpus statistics and lexical taxonomy. In: Proceedings of the International Conference on Research in Computational Linguistics (ROCLING X), Taiwan, pp. 19–33 (1997)

    Google Scholar 

  19. Laparra, E., Rigau, G.: Integrating wordnet and framenet using a knowledge-based word sense disambiguation algorithm. In: Proceedings of RANLP 2009, pp. 208–213 (2009), http://www.aclweb.org/anthology/R09-1039

  20. Lin, D.: Automatic retrieval and clustering of similar words. In: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics, Montreal, Quebec, Canada, pp. 768–774 (1998)

    Google Scholar 

  21. McCarthy, D., Carroll, J.: Disambiguating nouns, verbs, and adjectives using automatically acquired selectional preferences. Computational Linguistics 29(4), 639–654 (2003)

    Article  MATH  Google Scholar 

  22. Mendes, P.N., Jakob, M., García-Silva, A., Bizer, C.: DBpedia Spotlight: Shedding Light on the Web of Documents. In: Proceedings of I-SEMANTICS, the 7th Conference on Semantic Systems (2011)

    Google Scholar 

  23. Milne, D., Witten, I.H.: Learning to link with Wikipedia. In: CIKM 2008: Proceedings of the 17th ACM Conference on Information and Knowledge Management, pp. 509–518. ACM, NY (2008)

    Chapter  Google Scholar 

  24. Navigli, R., Ponzetto, S.P.: Babelnet: Building a very large multilingual semantic network. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, Uppsala, Sweden, pp. 216–225 (2010)

    Google Scholar 

  25. Ovchinnikova, E., Vieu, L., Oltramari, A., Borgo, S., Alexandrov, T.: Data-Driven and Ontological Analysis of FrameNet for Natural Language Reasoning. In: Proceedings of LREC 2010, Valletta, Malta (2010)

    Google Scholar 

  26. Pedersen, T., Patwardhan, S., Michelizzi, J.: WordNet:Similarity - Measuring the Relatedness of Concepts. In: Proceedings of the 5th Annual Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL 2004), Boston, MA, USA, pp. 38–41 (2004)

    Google Scholar 

  27. Pereira, F., Tishby, N., Lee, L.: Distributional clustering of English words. In: Proceedings of the 31st Annual Meeting of the Association for Computational Linguistics, Columbus, OH, US, pp. 183–190 (1993)

    Google Scholar 

  28. Resnik, P.: Semantic classes and syntactic ambiguity. In: Proceedings of the Workshop on Human Language Technology, Morristown, NJ, USA, pp. 278–283 (1996)

    Google Scholar 

  29. Ruppenhofer, J., Ellsworth, M., Petruck, M.R., Johnson, C.R., Scheffczyk, J.: FrameNet II: Extended Theory and Practice (2010), http://framenet.icsi.berkeley.edu/book/book.html

  30. Ruppenhofer, J., Sporleder, C., Morante, R., Baker, C.F., Palmer, M.: SemEval-2010 Task 10: Linking Events and Their Participants in Discourse. In: Proceedings of SemEval 2010: 5th International Workshop on Semantic Evaluations (2010)

    Google Scholar 

  31. Suchanek, F.M., Kasneci, G., Weikum, G.: Yago: a core of semantic knowledge. In: WWW 2007: Proceedings of the 16th International Conference on World Wide Web, pp. 697–706. ACM Press (2007)

    Google Scholar 

  32. Tonelli, S., Giuliano, C., Tymoshenko, K.: Wikipedia-based WSD for multilingual frame annotation. Artificial Intelligence (2012)

    Google Scholar 

  33. Tonelli, S., Pighin, D.: New Features for FrameNet - WordNet Mapping. In: Proceedings of CoNLL 2009, Boulder, Colorado, pp. 219–227 (2009), http://www.aclweb.org/anthology/W09-1127

  34. Wilks, Y.: An intelligent analyzer and understander of English. Communications of the ACM 18(5), 264–274 (1975)

    Article  Google Scholar 

  35. Wu, Z., Palmer, M.: Verb Semantics and Lexical Selection. In: Proceedings of the 32nd Annual Meeting of the Association for Computational Linguistics, Las Cruces, New Mexico (1994)

    Google Scholar 

  36. Zapirain, B., Agirre, E., Màrquez, L., Surdeanu, M.: Improving semantic role classification with selectional preferences. In: Proceedings of the 2010 Annual Conference of the North American Chapter of the ACL, Los Angeles, CA, USA, pp. 373–376 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Fondazione Bruno Kessler, Italy

    Sara Tonelli, Volha Bryl, Claudio Giuliano & Luciano Serafini

Authors
  1. Sara Tonelli
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Volha Bryl
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Claudio Giuliano
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Luciano Serafini
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Vrije Universiteit, Amsterdam, The Netherlands

    Annette ten Teije

  2. Institute of Computer Science and Business Informatics, University of Mannheim, Germany

    Johanna Völker  & Heiner Stuckenschmidt  & 

  3. Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland

    Siegfried Handschuh

  4. Knowledge Media Institute, The Open University, Milton Keynes, UK

    Mathieu d’Acquin  & Andriy Nikolov  & 

  5. Institut de Recherche en Informatique, Université de Toulouse, 118, route de Narbonne, 31062, Toulouse Cedex 4, France

    Nathalie Aussenac-Gilles

  6. Université de Toulouse, France

    Nathalie Hernandez

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tonelli, S., Bryl, V., Giuliano, C., Serafini, L. (2012). Investigating the Semantics of Frame Elements. In: ten Teije, A., et al. Knowledge Engineering and Knowledge Management. EKAW 2012. Lecture Notes in Computer Science(), vol 7603. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33876-2_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33876-2_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33875-5

  • Online ISBN: 978-3-642-33876-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation