no code implementations • 24 Jan 2025 • Dongming Sheng, Kexin Han, Hao Li, Yan Zhang, YuCheng Huang, Jun Lang, Wenqiang Liu
We achieve an average improvement of 3. 7% in terms of weighted-averaged F1 in four datasets with different languages.
no code implementations • 16 Mar 2024 • Yang Huang, Miaomiao Dong, Yijie Mao, Wenqiang Liu, Zhen Gao
Due to such design and the kernel-based neural network, to which decision-making features can be continuously added, the kernel-based approach can outperform the approach based on fully-connected deep neural network, yielding improvement in energy consumption and the backlog performance, as well as a significant reduction in decision-making and online learning time.
1 code implementation • 26 Feb 2024 • Zhaopeng Feng, Yan Zhang, Hao Li, Bei Wu, Jiayu Liao, Wenqiang Liu, Jun Lang, Yang Feng, Jian Wu, Zuozhu Liu
Large Language Models (LLMs) have achieved impressive results in Machine Translation (MT).
no code implementations • 9 Mar 2023 • Tianyu Yu, Yangning Li, Jiaoyan Chen, Yinghui Li, Hai-Tao Zheng, Xi Chen, Qingbin Liu, Wenqiang Liu, Dongxiao Huang, Bei Wu, Yexin Wang
Inspired by this, we devise a knowledge-augmented, few-shot VRD framework leveraging both textual knowledge and visual relation knowledge to improve the generalization ability of few-shot VRD.
1 code implementation • 29 Nov 2022 • Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu
We consider knowledge transfer and retention of the learning on growing snapshots of a KG without having to learn embeddings from scratch.
2 code implementations • 22 Aug 2022 • Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu
We propose a walk-based inductive reasoning model to tackle the new setting.
1 code implementation • 23 Jul 2022 • Yuxin Wang, Yuanning Cui, Wenqiang Liu, Zequn Sun, Yiqiao Jiang, Kexin Han, Wei Hu
To avoid retraining an entire model on the whole KGs whenever new entities and triples come, we present a continual alignment method for this task.
no code implementations • 5 Aug 2020 • Yijiang Lian, Zhenjun You, Fan Wu, Wenqiang Liu, Jing Jia
Firstly, we devise a Trie-based translation model to make a data increment.
no code implementations • 9 Oct 2019 • Wenqiang Liu, Hongyun Cai, Xu Cheng, Sifa Xie, Yipeng Yu, Hanyu Zhang
The goal of representation learning of knowledge graph is to encode both entities and relations into a low-dimensional embedding spaces.
no code implementations • 17 Jul 2017 • Meng Wang, Jiaheng Zhang, Jun Liu, Wei Hu, Sen Wang, Xue Li, Wenqiang Liu
Electronic medical records contain multi-format electronic medical data that consist of an abundance of medical knowledge.