Neural Crossword Solver Outperforms Humans for the First Time

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Neural Crossword Solver Outperforms Humans for the First Time
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“This marks the first time that a computer program has surpassed human performance at this event,” say the researchers. “Our system won first place against 1,100 top human solvers.”

Crosswords are one of humanity’s most popular pastimes. They consist of a set of clues to answers which form a grid of overlapping words. The goal is to complete the grid.

Enter the Berkeley Crossword Solver, an automatic crossword-solving program developed by Eric Wallace and other members of the natural language programming team at the University California, Berkeley, along with Matt Ginsberg, the original developer of the Dr Fill program.The new program outscored all human competitors in the 2021 American Crossword Puzzle Tournament. “[This] marks the first time that a computer program has surpassed human performance at this event,” say the researchers.

And common-sense clues require a realistic understanding of the real world. For example, CLUE: Cause of a smudge, A: WETINK. The Berkeley Crossword Solver’s approach is straightforward. It begins with a neural questioning answering algorithm that produces candidate solutions for all the clues along with a score suggesting how good a solution it might be.

The Berkeley team use a process called Belief Propagation to resolve this. This aims to produce a solution with the highest overlap to the expected solution, rather than a solution preferring words with greater scores from the question answering process.

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