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Solving Crossword Puzzles Using Extended Potts Model

  • Kazuki Jimbo
  • Hiroya Takamura
  • Manabu Okumura
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5447)

Abstract

Solving crossword puzzles by computers is a challenging task in artificial intelligence. It requires logical inference and association as well as vocabulary and common sense knowledge. For this task, we present an extension of the Potts model. This model can incorporate various clues for solving puzzles and require less computational cost compared with other existing models.

Keywords

World Wide Potts Model Candidate List Random Initialization Linguistic Resource 
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.
    Shazeer, N.M., Littman, M.L., Keim, G.A.: Solving Crossword Puzzles as Probabilistic Constraint Satisfaction. In: Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence, pp. 156–162 (1999)Google Scholar
  2. 2.
    Keim, G.A., Shazeer, N., Littman, M.L., Agarwal, S., Cheves, C.M., Fitzgerald, J., Grosland, J., Jiang, F., Pollard, S., Weinmeister, K.: Proverb : The Probabilistic Cruciverbalist. In: Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 710–717 (1999)Google Scholar
  3. 3.
    Sato, S.: Solving Japanese Crossword Puzzles. IPSJ SIG Notes, NL-147-11, 69–76 (2002) (in Japanese)Google Scholar
  4. 4.
    Ernandes, M., Angelini, G., Goli, M.: WebCrow: a WEB-based system for CROssWord solving. In: Proceedings of the Twentieth National Conference of Artificial Intelligence, pp. 1412–1417 (2005)Google Scholar
  5. 5.
    Nishimori, H.: Statistical Physics of Spin Glasses and Information Processing. Oxford University Press, Oxford (2001)CrossRefzbMATHGoogle Scholar
  6. 6.
    Wu, F.-Y.: The Potts model. Reviews of Modern Physics 54(1), 235–268 (1982)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Kazuki Jimbo
    • 1
  • Hiroya Takamura
    • 2
  • Manabu Okumura
    • 2
  1. 1.Department of Computer ScienceTokyo Institute of TechnologyJapan
  2. 2.Precision and Intelligence LaboratoryTokyo Institute of TechnologyJapan

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