Skip to main content

Using Declarative Knowledge for Understanding Natural Language

  • Chapter
Natural Language Parsing Systems

Part of the book series: Symbolic Computation ((1064))

Abstract

Declarative knowledge includes no information prescribing when and how it can be used. For instance, “the article agrees with the noun in gender and number” is declarative knowledge: we can use it at the beginning of the parsing of a sentence, at the end, or not at all. We can check the gender, then the number, or the other way round, or only the gender. We can use it when we find an article, when we find a noun, in both cases, or when we have completed the parsing of a noun group.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Yigal Arens: Using Language and Context in the Analysis of Text. IJCAI 81, pp. 52–57

    Google Scholar 

  2. J. Brown and R. Burton: Multiple Representations of Knowledge for Tutorial Reasoning. In: Bobrow-Collins (ed.): Representation and Understanding. New York: Academic Press 1975, pp. 311–349

    Google Scholar 

  3. E. Charniak: On the Use of Framed Knowledge in Language Comprehension. Artificial Intelligence 11 (3), 225–265 (1978)

    Article  MathSciNet  Google Scholar 

  4. de Groot: Thought and Choice in Chess. The Hague: Mouton 1965

    Google Scholar 

  5. G. Dejong: Prediction and Substantiation: A New Approach to Natural Language Processing. Cognitive Science 3 (3), 251–273 (1979)

    Article  Google Scholar 

  6. M. Dincbas: Contribution à l’étude des systemes experts. Thesis. Ecole Nationale Supérieure de l’Aéronautique et de l’Espace, Toulouse, 21. 1. 1983

    Google Scholar 

  7. H. Gallaire and C. Lasserre: Metalevel Control for Logic Programs. In: Clark and Tarnlund (eds.): Logic Programming. New York: Academic Press 1982, pp. 173–185

    Google Scholar 

  8. M. Kay: Morphological and Syntactic Analysis. In: A. Zampolli (ed.): Syntactic Structures Processing. Amsterdam: North-Holland 1977

    Google Scholar 

  9. M. Kay: Functional Grammar. Proceedings of the Fifth Annual Meeting of the Berkeley Linguistic Society, F-1979

    Google Scholar 

  10. M. Kay: An Algorithm for Compiling Parsing Tables from a Grammar. Xerox Report, 1980

    Google Scholar 

  11. M. Kay: Algorithm Schemata and Data Structures in Syntactic Processing. Xerox Report CSL80–12, October 1980

    Google Scholar 

  12. J. L. Lauriére: A Language and a Program for Starting and Solving Combinatorial Problems. Artificial Intelligence 10 (1), 29–127 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  13. J. L. Laurière: Toward Efficiency Through Generality. IJCAI 79, pp. 519–521 (1983)

    Google Scholar 

  14. M. Lebowitz: Memory-based Parsing. Artificial Intelligence 21 (4), 363–404 (1983)

    Article  MathSciNet  Google Scholar 

  15. M. McCord: Using Slots and Modifiers in Logic Grammars for Natural Language. Artificial Intelligence 18 (3), 327–367 (1982)

    Article  Google Scholar 

  16. L. Norton: Automated Analysis of Instructional Text. Artificial Intelligence 20 (3), 307–344 (1983)

    Article  Google Scholar 

  17. F. Pereira and D. Warren: Definitive Clause Grammars for Language Analysis. A Survey of the Formalism and a Comparison with Augmented Transition Networks. Artificial Intelligence 13 (3), 231–278 (1980)

    Article  MathSciNet  MATH  Google Scholar 

  18. J. Pitrat: Un langage pour décrire les connaissances pragmatiques. In: Colloque Intelligence Artificielle de Toulouse. Publication 24. Groupe de Recherche 22 du C. N. R. S., Université Paris VI, July 1981, pp. 177–205

    Google Scholar 

  19. J. Pitrat: Un langage pour décrire les connaissances de façon déclarative. In: Utilisation des connaissances déclaratives. Publication 30. Groupe de Recherche 22 du C. N. R. S., Université Paris VI, September 1982, pp. 121–148

    Google Scholar 

  20. F. Rousselot: Un nouveau formalisme pour la compréhension des textes. In: Connaissances et metaconnaissances. Publication 38. Groupe de Recherche 22 du C. N. R. S., Université Paris VI, September 1983, pp. 185–217

    Google Scholar 

  21. R. Schank: Interestingness: Controlling Inferences. Artificial Intelligence 12 (3), 273–297 ( 1979

    Article  Google Scholar 

  22. R. Wilensky: A Knowledge-based Approach to Language Processing; a Progress Report. IJCAI 81, pp. 25–30

    Google Scholar 

  23. T. Winograd: Understanding Natural Language. Edinburgh University Press 1972

    Google Scholar 

  24. W. Woods: Transition Networks Grammars for Natural Language Analysis. Communications of theACM 13 (10), 591–606 (1970)

    Article  MATH  Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1987 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Pitrat, J. (1987). Using Declarative Knowledge for Understanding Natural Language. In: Bolc, L. (eds) Natural Language Parsing Systems. Symbolic Computation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83030-3_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-83030-3_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-83032-7

  • Online ISBN: 978-3-642-83030-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics