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)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.