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Solving Crossword Puzzles with AI:

Solving Crossword Puzzles with AI:. a look at Proverb. What is Proverb?. Proverb was developed in 1999 to solve crosswords puzzles Works on American puzzles Cannot beat expert humans Solves a puzzle in 15 minutes Gets over 93% of words correct. Goal: .

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Solving Crossword Puzzles with AI:

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  1. Solving Crossword Puzzles with AI: a look at Proverb

  2. What is Proverb? • Proverb was developed in 1999 to solve crosswords puzzles • Works on American puzzles • Cannot beat expert humans • Solves a puzzle in 15 minutes • Gets over 93% of words correct

  3. Goal: • Maximize the number of answers in the crossword puzzle that are the same as the solution. • So how does it work?

  4. Searching… • Different searches performed depending on the category: abbr, synonym, kind of, pop culture, geography, literature, film… • Two stage architecture: 1. Specific modules that generate candidate answers 2. Combines results from the modules

  5. Kinds of Modules • Database: movie, music, geography, literary, synonyms, etc • Syntactic: fill-in-the-blanks, kind of • Word list • CWDB specific • Information retrieval: encyclopedia, partial match, etc

  6. More about modules… • modules are given the clue and the number of letters in the target • grid constraints are ignored at this point with the exception of word length • the module returns anywhere between 0 and 10,000 possible answers • each one has a weighted likelihood or probability that it is the correct solution • each module also returns a value that represents its confidence that the answer is part of its list

  7. Clue: Farrow of “Peyton Place” (answer: Mia) Confidence score = 1.0 • 0.909091 – mia • 0.010101 – tom • 0.010101 – kip • 0.010101 – kip • 0.010101 – peg • 0.010101 – ray

  8. Training the modules… • 30 modules were evaluated with test data that consisted of 5374 clues • Measures of performance: • How often the correct answer was included in the candidate list • The average length of the candidate list • The number of times that the correct answer appeared as the #1 candidate • Percentage of clues that the module guessed at

  9. Probabilistic Constraint Satisfaction Problem Each box is represented as a variable Must maximize the correct solutions Limitations: confused by creativity in clues only solves American puzzles Grid Filling

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