While that method excels at minimizing attempts, it demands precise knowledge of the game’s underlying semantic model and the exact closeness scores between all terms. After publishing, Daniel Vitek, a graduate school peer, proposed an alternative approach that doesn’t rely on such specifics, instead leveraging only which terms are semantically nearer than others.
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