5 citations · 13 across the 5 of their papers we have counts for
5 papers
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models
Yifu Gao, Linbo Qiao, Zhigang Kan +3
Temporal knowledge graph question answering (TKGQA) poses a significant challenge task, due to the temporal constraints hidden in questions and the answers sought from dynamic stru…
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization
Zhigang Kan, Linbo Qiao, Hao Yu +3
Large Language Models (LLMs) are gaining increasing attention due to their exceptional performance across numerous tasks. As a result, the general public utilize them as an influen…
A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks
Zhigang Kan, Linhui Feng, Zhangyue Yin +3
Prompt learning is an effective paradigm that bridges gaps between the pre-training tasks and the corresponding downstream applications. Approaches based on this paradigm have achi…
Event Arguments Extraction via Dilate Gated Convolutional Neural Network with Enhanced Local Features
Zhigang Kan, Linbo Qiao, Sen Yang +2
Event Extraction plays an important role in information-extraction to understand the world. Event extraction could be split into two subtasks: one is event trigger extraction, the…
P-ADMMiRNN: Training RNN with Stable Convergence via An Efficient and Paralleled ADMM Approach
Yu Tang, Zhigang Kan, Dequan Sun +4
It is hard to train Recurrent Neural Network (RNN) with stable convergence and avoid gradient vanishing and exploding problems, as the weights in the recurrent unit are repeated fr…