most citedESIE-BERT: Enriching Sub-words Information Explicitly with BERT for Joint Intent Classification and SlotFilling

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CL2022★ 2 cited

ESIE-BERT: Enriching Sub-words Information Explicitly with BERT for Joint Intent Classification and SlotFilling

Yu Guo, Zhilong Xie, Xingyan Chen +7

Natural language understanding (NLU) has two core tasks: intent classification and slot filling. The success of pre-training language models resulted in a significant breakthrough…