Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing

ACL 2019 Daya GuoDuyu TangNan DuanMing ZhouJian Yin

In this paper, we present an approach to incorporate retrieved datapoints as supporting evidence for context-dependent semantic parsing, such as generating source code conditioned on the class environment. Our approach naturally combines a retrieval model and a meta-learner, where the former learns to find similar datapoints from the training data, and the latter considers retrieved datapoints as a pseudo task for fast adaptation... (read more)

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