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2020 – today
- 2024
[j2]Shaohuan Cheng, Wenyu Chen, Wanlong Liu, Li Zhou, Honglin Zhao, Weishan Kong, Hong Qu, Mingsheng Fu
:
Dynamic training for handling textual label noise. Appl. Intell. 54(22): 11161-11176 (2024)- [c3]Wanlong Liu, Li Zhou, Dingyi Zeng, Yichen Xiao, Shaohuan Cheng, Chen Zhang, Grandee Lee, Malu Zhang, Wenyu Chen:
Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction. ACL (Findings) 2024: 9470-9487 - [i4]Wanlong Liu, Li Zhou, Dingyi Zeng, Yichen Xiao, Shaohuan Cheng, Chen Zhang, Grandee Lee, Malu Zhang, Wenyu Chen:
Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction. CoRR abs/2405.01884 (2024) - [i3]Wanlong Liu, Enqi Zhang, Li Zhou, Dingyi Zeng, Shaohuan Cheng, Chen Zhang, Malu Zhang, Wenyu Chen:
A Compressive Memory-based Retrieval Approach for Event Argument Extraction. CoRR abs/2409.09322 (2024) - 2023
- [j1]Li Zhou, Wenyu Chen, Dingyi Zeng, Shaohuan Cheng, Wanlong Liu, Malu Zhang, Hong Qu:
DPGNN: Dual-perception graph neural network for representation learning. Knowl. Based Syst. 268: 110377 (2023) - [c2]Wanlong Liu, Shaohuan Cheng, Dingyi Zeng, Hong Qu:
Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance. ACL (Findings) 2023: 12908-12922 - [c1]Shaohuan Cheng, Wenyu Chen, Mingsheng Fu, Xuanting Xie, Hong Qu:
Adaptive Textual Label Noise Learning based on Pre-trained Models. EMNLP (Findings) 2023: 3174-3188 - [i2]Wanlong Liu, Shaohuan Cheng, Dingyi Zeng, Hong Qu:
Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance. CoRR abs/2310.05991 (2023) - 2021
- [i1]Li Zhou, Wenyu Chen, Dingyi Zeng, Shaohuan Cheng, Wanlong Liu, Hong Qu:
A Dual-Perception Graph Neural Network with Multi-hop Graph Generator. CoRR abs/2110.07869 (2021)
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