23 citations · 102 across the 15 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CL2019★ 8 cited
Data Augmentation with Atomic Templates for Spoken Language Understanding
Zijian Zhao, Su Zhu, Kai Yu
Spoken Language Understanding (SLU) converts user utterances into structured semantic representations. Data sparsity is one of the main obstacles of SLU due to the high cost of hum…
cs.CL2019★ 2 cited
Semantic Parsing with Dual Learning
Ruisheng Cao, Su Zhu, Chen Liu +2
Semantic parsing converts natural language queries into structured logical forms. The paucity of annotated training samples is a fundamental challenge in this field. In this work,…
cs.CL2019★ 2 cited
A Hierarchical Decoding Model For Spoken Language Understanding From Unaligned Data
Zijian Zhao, Su Zhu, Kai Yu
Spoken language understanding (SLU) systems can be trained on two types of labelled data: aligned or unaligned. Unaligned data do not require word by word annotation and is easier…