Towards Zero-Shot Frame Semantic Parsing for Domain Scaling


State-of-the-art slot filling models for goal-oriented human/machine conversational language understanding systems rely on deep learning methods. While multi-task training of such models alleviates the need for large in-domain annotated datasets, bootstrapping a semantic parsing model for a new domain using only the semantic frame, such as the back-end API… (More)


6 Figures and Tables

Slides referencing similar topics