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Common Sense Inference Using Verb Valency Frames

  • Zuzana Nevěřilová
  • Marek Grác
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7499)

Abstract

In this paper we discuss common-sense reasoning from verb valency frames. While seeing verbs as predicates is not a new approach, processing inference as a transformation of valency frames is a promising method we developed with the help of large verb valency lexicons. We went through the whole process and evaluated it on several levels: parsing, valency assignment, syntactic transformation, syntactic and semantic evaluation of the generated propositions.

We have chosen the domain of cooking recipes. We built a corpus with marked noun phrases, verb phrases and dependencies among them. We have manually created a basic set of inference rules and used it to infer new propositions from the corpus. Next, we extended this basic set and repeated the process. At first, we generated 1,738 sentences from 175 rules. 1,633 sentences were judged as (syntactically) correct and 1,533 were judged as (semantically) true. After extending the basic rule set we generated 2,826 propositions using 276 rules. 2,598 propositions were judged correct and 2,433 of the propositions were judged true.

Keywords

Noun Phrase Inference Rule Semantic Role Syntactic Rule Syntactic Property 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Lehmann, D.J.: Stereotypical reasoning: Logical properties. CoRR cs.AI/0203004 (2002)Google Scholar
  2. 2.
    Minsky, M.: A framework for representing knowledge. Technical report, Massachusetts Institute of Technology, Cambridge, MA, USA (1974)Google Scholar
  3. 3.
    Schank, R.C., Abelson, R.P.: Scripts, Plans, Goals, and Understanding: An Inquiry Into Human Knowledge Structures (Artificial Intelligence), 1st edn. Lawrence Erlbaum Associates, Hardcover (July 1977)Google Scholar
  4. 4.
    Sowa, J.: Fads and fallacies about logic. IEEE Intelligent Systems, 84–87 (2007)Google Scholar
  5. 5.
    Kingsbury, P., Kipper, K.: Deriving verb-meaning clusters from syntactic structure. In: Proceedings of the HLT-NAACL 2003 workshop on Text meaning, vol. 9. HLT-NAACL-TEXTMEANING 2003, pp. 70–77. Association for Computational Linguistics, Stroudsburg (2003)CrossRefGoogle Scholar
  6. 6.
    Loos, E.E., Anderson, S., Dwight, H., Day, J., Jordan, P.C., Wingate, J.D.: Glossary of linguistic terms (January 2004), http://www.sil.org/linguistics/GlossaryOfLinguisticTerms/
  7. 7.
    Hlaváčková, D., Horák, A.: Verbalex - new comprehensive lexicon of verb valencies for Czech. In: Proceedings of the Slovko Conference (2005)Google Scholar
  8. 8.
    Fellbaum, C.: WordNet: An Electronic Lexical Database (Language, Speech, and Communication). MIT Press, Hardcover (May 1998)Google Scholar
  9. 9.
    Stern, A., Dagan, I.: A confidence model for syntactically-motivated entailment proofs. In: Proceedings of the International Conference Recent Advances in Natural Language Processing 2011, RANLP 2011 Organizing Committee, Hissar, Bulgaria, pp. 455–462 (September 2011)Google Scholar
  10. 10.
    Grác, M.: Case study of BushBank concept. In: PACLIC 25th Pacific Asia Conference on Language, Information and Computation, pp. 353–361 (2011)Google Scholar
  11. 11.
    Šmerk, P.: Towards Morphological Disambiguation of Czech. Ph.D. thesis proposal, Faculty of Informatics, Masaryk University (2007)Google Scholar
  12. 12.
    Kovář, V., Horák, A., Jakubíček, M.: Syntactic Analysis Using Finite Patterns: A New Parsing System for Czech. In: Vetulani, Z. (ed.) LTC 2009. LNCS, vol. 6562, pp. 161–171. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  13. 13.
    Šmerk, P.: Fast morphological analysis of Czech. In: Proceedings of the RASLAN Workshop 2009, Masarykova univerzita (2009)Google Scholar
  14. 14.
    Pala, K., Smrž, P.: Building Czech Wordnet (7), 79–88 (2004)Google Scholar
  15. 15.
    Nevěřilová, Z.: Semantic Role Patterns and Verb Classes in Verb Valency Lexicon. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds.) TSD 2010. LNCS, vol. 6231, pp. 150–156. Springer, Heidelberg (2010)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Zuzana Nevěřilová
    • 1
  • Marek Grác
    • 1
  1. 1.NLP Centre, Faculty of InformaticsMasaryk UniversityBrnoCzech Republic

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