Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding

22 Mar 2020Su ZhuZijian ZhaoRao MaKai Yu

Traditional slot filling in natural language understanding (NLU) predicts a one-hot vector for each word. This form of label representation lacks semantic correlation modelling, which leads to severe data sparsity problem, especially when adapting an NLU model to a new domain... (read more)

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