Summary of Proving That Cryptic Crossword Clue Answers Are Correct, by Martin Andrews et al.
Proving that Cryptic Crossword Clue Answers are Correct
by Martin Andrews, Sam Witteveen
First submitted to arxiv on: 11 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents a novel approach to solving cryptic crossword clues, leveraging a pre-existing framework for wordplay proofing. By utilizing Python proofs generated by a Large Language Model (LLM), researchers demonstrate the ability to distinguish between correct and almost-correct answers based on whether the wordplay “works”. This work has implications for natural language processing and cognitive tasks, showcasing the potential of AI-powered methods in deciphering complex linguistic puzzles. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Cryptic crossword clues are a fun and challenging puzzle type. They have a special twist: each clue has both an answer and a way to prove that answer is correct. The proof is called “wordplay”. A team used a computer program that was trained on a large language model to analyze these wordplays. They showed that their system can tell the difference between correct answers and ones that are almost, but not quite, right. This research has important implications for how we understand language and how computers can help us with complex puzzles. |
Keywords
» Artificial intelligence » Large language model » Natural language processing
