no code implementations • LREC 2016 • Jinhua Du, Andy Way, Andrzej Zydron
Out-of-vocabulary words (OOVs) are a ubiquitous and difficult problem in statistical machine translation (SMT).
no code implementations • LREC 2016 • Xiaofeng Wu, Jinhua Du, Qun Liu, Andy Way
This paper presents ProphetMT, a tree-based SMT-driven Controlled Language (CL) authoring and post-editing tool.
no code implementations • IJCNLP 2017 • Long-Yue Wang, Jinhua Du, Liangyou Li, Zhaopeng Tu, Andy Way, Qun Liu
We showcase TODAY, a semantics-enhanced task-oriented dialogue translation system, whose novelties are: (i) task-oriented named entity (NE) definition and a hybrid strategy for NE recognition and translation; and (ii) a novel grounded semantic method for dialogue understanding and task-order management.
no code implementations • ACL 2018 • Jingguang Han, Utsab Barman, Jeremiah Hayes, Jinhua Du, Edward Burgin, Dadong Wan
Most of the current anti money laundering (AML) systems, using handcrafted rules, are heavily reliant on existing structured databases, which are not capable of effectively and efficiently identifying hidden and complex ML activities, especially those with dynamic and time-varying characteristics, resulting in a high percentage of false positives.
no code implementations • EMNLP 2018 • Jinhua Du, Jingguang Han, Andy Way, Dadong Wan
Targeting the MIL issue, the structured sentence-level attention learns a 2-D matrix where each row vector represents a weight distribution on selection of different valid in-stances.
no code implementations • IJCNLP 2019 • Yuyun Huang, Jinhua Du
Distance supervision is widely used in relation extraction tasks, particularly when large-scale manual annotations are virtually impossible to conduct.
no code implementations • COLING 2020 • Jinhua Du, Yan Huang, Karo Moilanen
Recurrent neural networks (RNNs) suffer from well-known limitations and complications which include slow inference and vanishing gradients when processing long sequences in text classification.
no code implementations • 4 Jan 2024 • Heng Chang, Jiangnan Ye, Alejo Lopez Avila, Jinhua Du, Jia Li
Graph Neural Networks (GNNs) have achieved great success in Knowledge Graph Completion (KGC) by modelling how entities and relations interact in recent years.
1 code implementation • 8 Feb 2024 • Hainiu Xu, Runcong Zhao, Lixing Zhu, Jinhua Du, Yulan He
Neural Theory-of-Mind (N-ToM), machine's ability to understand and keep track of the mental states of others, is pivotal in developing socially intelligent agents.
1 code implementation • 26 Apr 2024 • Qinglin Zhu, Runcong Zhao, Jinhua Du, Lin Gui, Yulan He
Recent advancements in Large Language Models (LLMs) have enhanced the efficacy of agent communication and social interactions.