16 citations · 24 across the 4 of their papers we have counts for
4 papers · 1 filter
A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding
Lizhi Cheng, Wenmian Yang, Weijia Jia
Multi-Intent Spoken Language Understanding (SLU), a novel and more complex scenario of SLU, is attracting increasing attention. Unlike traditional SLU, each intent in this scenario…
Capture Salient Historical Information: A Fast and Accurate Non-Autoregressive Model for Multi-turn Spoken Language Understanding
Lizhi Cheng, Weijia jia, Wenmian Yang
Spoken Language Understanding (SLU), a core component of the task-oriented dialogue system, expects a shorter inference facing the impatience of human users. Existing work increase…
An Effective Non-Autoregressive Model for Spoken Language Understanding
Lizhi Cheng, Weijia Jia, Wenmian Yang
Spoken Language Understanding (SLU), a core component of the task-oriented dialogue system, expects a shorter inference latency due to the impatience of humans. Non-autoregressive…
A Result based Portable Framework for Spoken Language Understanding
Lizhi Cheng, Weijia Jia, Wenmian Yang
Spoken language understanding (SLU), which is a core component of the task-oriented dialogue system, has made substantial progress in the research of single-turn dialogue. However,…