Papers with missing execution engines

1 papers
Benchmarking Meaning Representations in Neural Semantic Parsing (2020.emnlp-main)

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Challenge: Existing work on meaning representations is not comprehensively evaluated due to the lack of readily-available execution engines.
Approach: They propose a unified benchmark on meaning representations by integrating existing semantic parsing datasets, completing the missing logical forms, and implementing the missing execution engines.
Outcome: The proposed benchmark combines existing parsing datasets, completes missing logical forms, and implements missing execution engines.

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