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Cross-TOP: Zero-Shot Cross-Schema Task-Oriented Parsing
2022
Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing
unpublished
Deep learning methods have enabled taskoriented semantic parsing of increasingly complex utterances. However, a single model is still typically trained and deployed for each task separately, requiring labeled training data for each, which makes it challenging to support new tasks, even within a single business vertical (e.g., food-ordering or travel booking). In this paper we describe Cross-TOP (Cross-Schema Task-Oriented Parsing), a zero-shot method for complex semantic parsing in a given
doi:10.18653/v1/2022.deeplo-1.6
fatcat:fl3n7dwwcfblne3ls5w6vlz37a