Artikel mit Open-Access-Mandaten - Jiawei ShengWeitere Informationen
Nicht verfügbar: 3
Multi-level connection enhanced representation learning for script event prediction
L Wang, J Yue, S Guo, J Sheng, Q Mao, Z Chen, S Zhong, C Li
Proceedings of the Web Conference 2021, 3524-3533, 2021
Mandate: National Natural Science Foundation of China
Event extraction by associating event types and argument roles
Q Li, S Guo, J Wu, J Li, J Sheng, H Peng, L Wang
IEEE Transactions on Big Data, 2023
Mandate: National Natural Science Foundation of China
A Dual-Classifier Model for General Fine-Grained Event Detection Task
Y Hei, Q Li, C Zhou, R Sun, J Yang, J Sheng, S Guo, L Wang
China Conference on Knowledge Graph and Semantic Computing, 18-27, 2021
Mandate: National Natural Science Foundation of China
Verfügbar: 13
A survey on deep learning event extraction: Approaches and applications
Q Li, J Li, J Sheng, S Cui, J Wu, Y Hei, H Peng, S Guo, L Wang, ...
IEEE Transactions on Neural Networks and Learning Systems, 2022
Mandate: US National Science Foundation, National Natural Science Foundation of China
Cross-domain recommendation to cold-start users via variational information bottleneck
J Cao, J Sheng, X Cong, T Liu, B Wang
2022 IEEE 38th International Conference on Data Engineering (ICDE), 2209-2223, 2022
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Contrastive cross-domain sequential recommendation
J Cao, X Cong, J Sheng, T Liu, B Wang
Proceedings of the 31st ACM International Conference on Information …, 2022
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Semi-open information extraction
B Yu, Z Zhang, J Sheng, T Liu, Y Wang, Y Wang, B Wang
Proceedings of the Web Conference 2021, 1661-1672, 2021
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Attribute-consistent knowledge graph representation learning for multi-modal entity alignment
Q Li, S Guo, Y Luo, C Ji, L Wang, J Sheng, J Li
Proceedings of the ACM Web Conference 2023, 2499-2508, 2023
Mandate: National Natural Science Foundation of China
Relation-guided few-shot relational triple extraction
X Cong, J Sheng, S Cui, B Yu, T Liu, B Wang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
CorED: incorporating type-level and instance-level correlations for fine-grained event detection
J Sheng, R Sun, S Guo, S Cui, J Cao, L Wang, T Liu, H Xu
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Type information utilized event detection via multi-channel gnns in electrical power systems
Q Li, J Li, L Wang, C Ji, Y Hei, J Sheng, Q Sun, S Xue, P Xie
ACM Transactions on the Web 17 (3), 1-26, 2023
Mandate: National Natural Science Foundation of China
A joint learning framework for the CCKS-2020 financial event extraction task
J Sheng, Q Li, Y Hei, S Guo, B Yu, L Wang, M He, T Liu, H Xu
Data Intelligence 3 (3), 444-459, 2021
Mandate: National Natural Science Foundation of China
A comprehensive survey on schema-based event extraction with deep learning
Q Li, H Peng, J Li, Y Hei, R Sun, J Sheng, S Guo, L Wang
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 14 (9), 1, 2021
Mandate: US National Science Foundation, Australian Research Council, National …
Two-tier graph contextual embedding for cross-device user matching
H Huang, S Guo, C Li, J Sheng, L Wang, J Li, J Liu, S Zhong
Proceedings of the 30th ACM International Conference on Information …, 2021
Mandate: National Natural Science Foundation of China
Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification
J Sheng, X Cong, J Cao, S Guo, C Li, L Wang, T Liu, H Xu
ECAI 2023, 2129-2137, 2023
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Enhancing Pre-Trained Language Representations Based on Contrastive Learning for Unsupervised Keyphrase Extraction.
Z Wang, X Zhang, Y Li, Y Wang, J Sheng, T Liu, H Xu
SEKE, 317-322, 2022
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
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