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On The Ingredients of an Effective Zero-shot Semantic Parser

Semantic parsers map natural language utterances into meaning representations (e.g. programs). Such models are typically bottle-necked by the paucity of training data due to the required laborious annotation efforts.

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Pengcheng Yin, John Wieting, Avi Sil, Graham Neubig (2024). Dataset: On The Ingredients of an Effective Zero-shot Semantic Parser. https://doi.org/10.57702/p3hoc3mt

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2110.08381
Author	Pengcheng Yin
More Authors	John Wieting Avi Sil Graham Neubig