101 citations · 237 across the 16 of their papers we have counts for
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Augmenting Document-level Relation Extraction with Efficient Multi-Supervision
Xiangyu Lin, Weijia Jia, Zhiguo Gong
Despite its popularity in sentence-level relation extraction, distantly supervised data is rarely utilized by existing work in document-level relation extraction due to its noisy n…
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,…
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…
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…
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…
Multi-labeled Relation Extraction with Attentive Capsule Network
Xinsong Zhang, Pengshuai Li, Weijia Jia +1
To disclose overlapped multiple relations from a sentence still keeps challenging. Most current works in terms of neural models inconveniently assuming that each sentence is explic…
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning
Tianyi Liu, Xinsong Zhang, Wanhao Zhou +1
Extracting relations is critical for knowledge base completion and construction in which distant supervised methods are widely used to extract relational facts automatically with t…