activity
20182022
most citedPreserving Dynamic Attention for Long-Term Spatial-Temporal Prediction

59 citations · 100 across the 8 of their papers we have counts for

collaborators

14 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.CL2020

Regularized Attentive Capsule Network for Overlapped Relation Extraction

Tianyi Liu, Xiangyu Lin, Weijia Jia +2

Distantly supervised relation extraction has been widely applied in knowledge base construction due to its less requirement of human efforts. However, the automatically established…

cs.GT2020

Defending against Contagious Attacks on a Network with Resource Reallocation

Rufan Bai, Haoxing Lin, Xinyu Yang +3

In classic network security games, the defender distributes defending resources to the nodes of the network, and the attacker attacks a node, with the objective to maximize the dam…

cs.CL2020

Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction

Pengshuai Li, Xinsong Zhang, Weijia Jia +1

Distant supervision has been a widely used method for neural relation extraction for its convenience of automatically labeling datasets. However, existing works on distantly superv…