activity
20192022
most citedAn Effective Non-Autoregressive Model for Spoken Language Understanding

16 citations · 42 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CL20226 cited

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…

cs.CL202116 cited

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…

cs.CL20212 cited

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,…

cs.CL202010 cited

On the Generation of Medical Dialogues for COVID-19

Wenmian Yang, Guangtao Zeng, Bowen Tan +9

Under the pandemic of COVID-19, people experiencing COVID19-related symptoms or exposed to risk factors have a pressing need to consult doctors. Due to hospital closure, a lot of c…

cs.IR2019

Interactive Variance Attention based Online Spoiler Detection for Time-Sync Comments

Wenmian Yang, Weijia Jia, Wenyuan Gao +2

Nowadays, time-sync comment (TSC), a new form of interactive comments, has become increasingly popular in Chinese video websites. By posting TSCs, people can easily express their f…

cs.CL2019

Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network

Wenmian Yang, Weijia Jia, XIaojie Zhou +1

The Legal Judgment Prediction (LJP) is to determine judgment results based on the fact descriptions of the cases. LJP usually consists of multiple subtasks, such as applicable law…