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Integrating Semantic Frames from Multiple Sources

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Computational Linguistics and Intelligent Text Processing (CICLing 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3878))

Abstract

Semantic resources of predicate-argument structure have high potential to enable increased quality in language understanding. Several alternative frame collections exist, but they cover different sets of predicates and use different role sets. We integrate semantic frame information given a predicate verb using three available collections: FrameNet, PropBank, and the LCS database. For each word sense in WordNet, we automatically assign the corresponding FrameNet frame and align frame roles between FrameNet and PropBank frames and between FrameNet and LCS frames, and verify the results manually. The results are avilable as part of ISI’s Omega ontology.

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References

  1. Baker, C.F., Fillmore, C.J., Lowe, J.B.: The Berkeley FrameNet project. In: Proceedings of COLING-ACL, Monteral, Canada (1998)

    Google Scholar 

  2. Baker, C.F., Ruppenhofer, J.: FrameNet’s Frames vs. Levin’s Verb Classes. In: Proceedings of 28th Annual Meeting of the Berkeley Linguistics Society, pp. 27–38 (2002)

    Google Scholar 

  3. Dorr, B.J.: Large-Scale Dictionary Construction for Foreign Language Tutoring and Interlingual Translation. Machine Translation 12(4), 271–322 (1997)

    Article  Google Scholar 

  4. Fellbaum, C.: Wordnet: An Electronic Lexical Database. MIT Press, Cambridge (1998)

    MATH  Google Scholar 

  5. Fillmore, C.J.: Frame Semantics and the Nature of Language. In: Annals of the New York Academy of Science Conference on the Origin and Development of Language and Speech, vol. 280, pp. 20–32 (1976)

    Google Scholar 

  6. Fleischman, M.B., Kwon, N., Hovy, E.: Maximum Entropy Models for FrameNet Classification. In: Proceedings of EMNLP 2003, Sapporo, Japan (2003)

    Google Scholar 

  7. Gildea, D., Jurafsky, D.: Automatic Labeling of Semantic Roles. Computational Linguistics 28(3), 245–288 (2002)

    Article  Google Scholar 

  8. Green, R., Dorr, B.J., Resnik, P.: Inducing Frame Semantic Verb Classes from WordNet and LDOCE. In: Proceedings of ACL 2004, Barcelona, Spain (2004)

    Google Scholar 

  9. Green, R., Pearl, L., Dorr, B.J., Resnik, P.: Mapping Lexical Entired in a Verbs Database to WordNet Senses. In: Proceedings of ACL 2001, Toulouse, France (2001)

    Google Scholar 

  10. Kingsbury, P., Palmer, M.: Adding Semantic Annotation to the Penn Treebank. In: Proceedings of HLT-2002, San Diego, CA (2002)

    Google Scholar 

  11. Kipper, K., Dang, H.T., Palmer, M.: Class-Based Construction of a Verb Lexicon. In: Proceedings of AAAI-2000, Austin, TX, USA (2000)

    Google Scholar 

  12. Levin, B.: English Verb Classes and Alternations: A Preliminary Investigation. University of Chicago press (1993)

    Google Scholar 

  13. Pradhan, S., Ward, W., Hacioglu, K., Martin, J.H., Jurafsky, D.: Shallow Semantic Parsing Using Support Vector Machines. In: Proceedings of HLT/NAACL 2004, Boston, MA (2004)

    Google Scholar 

  14. Shi, L., Mihalcea, R.: An Algorithm Open Text Semantic Parsing. In: Proceedings of the workshop on Robust Methods in Analysis of Natural Language Data, Geneva, Switzerland (2004)

    Google Scholar 

  15. Shi, L., Mihalcea, R.: Putting Pieces Together: Combining FrameNet, VerbNet and WordNet for Robust Semantic Parsing. In: Proceedings of the 6th international Conference on Intelligent Text Processing and Computational Linguistics, Mexico city, Mexico (2005)

    Google Scholar 

  16. Siegel, S., Castellan Jr., N.J.: Nonparametric Statistics for the Behavioural Sciences. McGraw-Hill, New York (1988)

    Google Scholar 

  17. Surdeanu, M., Harabagiu, S., Williams, J., Aarseth, P.: Using Predicate-Argument Structure for Information Extraction. In: Proceedings of ACL 2003, Sapporo, Japan (2003)

    Google Scholar 

  18. Swier, R.S., Stevenson, S.: Unsupervised Semantic Role Labelling. In: Proceedings of EMNLP 2004, Barcelona, Spain (2004)

    Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Kwon, N., Hovy, E. (2006). Integrating Semantic Frames from Multiple Sources. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2006. Lecture Notes in Computer Science, vol 3878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11671299_1

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  • DOI: https://doi.org/10.1007/11671299_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32205-4

  • Online ISBN: 978-3-540-32206-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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