SEBERTNets: Sequence Enhanced BERT Networks for Event Entity Extraction Tasks Oriented to the Finance Field

1 code implementation • 21 Jan 2024 • Congqing He, Xiangyu Zhu, Yuquan Le, Yuzhong Liu, Jianhong Yin

In addition, motivated by recommendation system, we propose Hybrid Sequence Enhanced BERT Networks (HSEBERTNets for short), which uses a multi-channel recall method to recall all the corresponding event entity.

Asset Management Event Extraction

A Novel Sequence Tagging Framework for Consumer Event-Cause Extraction

no code implementations • 28 Oct 2021 • Congqing He, Jie Zhang, Xiangyu Zhu, Huan Liu, Yukun Huang

To this end, we introduce a fresh perspective to revisit the relational event-cause extraction task and propose a novel sequence tagging framework, instead of extracting event types and events-causes separately.

SECaps: A Sequence Enhanced Capsule Model for Charge Prediction

no code implementations • 10 Oct 2018 • Congqing He, Li Peng, Yuquan Le, JiaWei He, Xiangyu Zhu

In this paper, we propose a Sequence Enhanced Capsule model, dubbed as SECaps model, to relieve this problem.