Solving Crossword Puzzles Using Extended Potts Model
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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.
KeywordsWorld Wide Potts Model Candidate List Random Initialization Linguistic Resource
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